Global climate and weather data
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The VCD19A2CMG Version 2 data product is a combined NASA/NOAA Suomi National Polar-orbiting Partnership (Suomi NPP) and NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Aerosol Optical Depth (AOD) and Water Vapor Level 3 product produced daily in a 0.05 degree (5,600 meters at the equator) Climate Modeling Grid (CMG). The VCD9A2CMG product is corrected for atmospheric gases and aerosols using a Multi-Angle Implementation of Atmospheric Correction (MAIAC) algorithm that is based on a time series analysis and a combination of pixel- and image-based processing. The VCD19A2CMG AOD data product contains the variables for blue band AOD at 0.47 µm, green band AOD at 0.55 µm, AOD uncertainty, average cloud fraction, available AOD, satellite overpass times, line and sample number, offset, and number of AOD records. Known Issues * MAIAC Lookup Tables (LUTs) are built assuming pseudo-spherical correction in single scattering which has a reduced accuracy for high sun/view zenith angles. A reduced MAIAC performance is expected at solar zenith angles > 78°. * MAIAC may be missing bright salt pans in several world deserts. In such cases, it may generate a persistent high Aerosol Optical Depth (AOD) resulting in missing surface retrievals. * Because of inherent uncertainties of gridding on the coastline, the area of 1-3 pixels from the coastline may contain frequent artifacts in cloud mask (usually over-detection), AOD (higher values) and surface BRF. Users should exercise caution near the coastline as represented by the AOD QA bit 1010 (See Table 5.4 of the User Guide bits 8-11, 1010 -- AOD within +-2 km from the coastline is replaced by nearby AOD). * Atmospheric Correction (AC) over detected snow: as MAIAC does not retrieve AOD over snow, it assumes a low climatology AOD=0.05 globally and 0.02 at high elevations (H>4.2 km). Over north-central China, which is often heavily polluted and low AOD assumption can lead to a significant bias, we use AOD averaged over mesoscale area of 150 km using reliable AOD retrievals over snow-free pixels. Such approach does improve quality of AC as compared to low-AOD assumption as judged by the reduced boundaries and color artifacts, but it does not account for the aerosol variability inside 150 km area. * Ice Mask is currently unreliable.
The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for ShortWave (VJ143D78) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VJ143D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VJ143D product contains just one data layer. VJ143D54 through VJ143D79 are the albedo products of the VJ143D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VJ143MA3 product. In addition to the bands included in VJ143MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VJ143MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VJ143D78 is the WSA for the VIIRS shortwave broadband (1.61 μm). Known Issues * For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website]( https://landweb.modaps.eosdis.nasa.gov/knownissue).
Extreme precipitation: areas where the change in the average maximum 1-day precipitation is above 20%. Pixels with a value higher than the specified threshold (20%) were given a value of 1 (YES response) The long-term change in annual precipitation is calculated over a 20 year time period, from 2041 to 2060 (mid term), with SSP1-2.6. **Data publication:** 2022-01-26 **Contact points:** Resource Contact: [IPCC WGI Interactive Atlas](mailto:ipcc-ddc@ifca.unican.es) Metadata Contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) **Resource constraints:** More information on IPCC data license at: https://interactive-atlas.ipcc.ch/licensev **Online resources:**
Drought: areas where the change in the Standardized Precipitation Index (SPI) is below -20%. Pixels with a value lower than the specified threshold (-20%) were given a value of 1 (YES response) The long-term change in annual drought is calculated over a 20 year time period, from 2041 to 2060 (mid term), with SSP1-2.6. **Data publication:** 2022-01-26 **Contact points:** Resource Contact: [IPCC WGI Interactive Atlas](mailto:ipcc-ddc@ifca.unican.es) Metadata Contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) **Resource constraints:** More information on IPCC data license at: https://interactive-atlas.ipcc.ch/license **Online resources:**
Daily global imagery layer from NASA's Global Imagery Browse Services (GIBS), served as map tiles.
Ocean acidification: Areas where pH at surface is below 8.085. Pixels with a value below than the specified threshold (8.085) were given a value of 1 (YES response) The long-term change in annual ocean acidification is calculated over a 20 year time period, from 2021 to 2040 (near term), with SSP1-2.6. **Data publication:** 2022-01-26 **Contact points:** Resource Contact: [IPCC WGI Interactive Atlas](mailto:ipcc-ddc@ifca.unican.es) Metadata Contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) **Resource constraints:** More information on IPCC data license at: https://interactive-atlas.ipcc.ch/license **Online resources:**
Drought: areas where the change in the Standardized Precipitation Index (SPI) is below -20%. Pixels with a value lower than the specified threshold (-20%) were given a value of 1 (YES response) The long-term change in annual drought is calculated over a 20 year time period, from 2021 to 2040 (near term) with SSP1-2.6. **Data publication:** 2022-01-26 **Contact points:** Resource Contact: [ IPCC WGI Interactive Atlas](mailto:ipcc-ddc@ifca.unican.es) Metadata Contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) **Resource constraints:** More information on IPCC data license at: https://interactive-atlas.ipcc.ch/license **Online resources:**
The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Black-Sky Albedo for Band M8 (VJ143D60) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VJ143D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VJ143D product contains just one data layer. VJ143D54 through VJ143D79 are the albedo products of the VJ143D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VJ143MA3 product. In addition to the bands included in VJ143MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VJ143MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VJ143D60 is the BSA for VIIRS band M8 (1.240 μm). Known Issues * For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website]( https://landweb.modaps.eosdis.nasa.gov/knownissue).
The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) monthly Climate Modeling Grid Version 2 product (VJ121C3) provides LST&E by a process of selecting the best available pixel over a monthly acquisition period at 0.05 degree (~5,600 meter) resolution. The VJ121C3 dataset is a monthly composite LST&E product that uses an algorithm based on a simple averaging method and is formatted as a CMG for use in climate simulation models. The algorithm calculates the average from all the cloud free VJ121A1D and VJ121A1N daily acquisitions from the monthly period. Unlike the VJ121A1 data sets where the daytime and nighttime acquisitions are separate products, the VJ121C3 contains both daytime and nighttime acquisitions as separate Science Dataset (SDS) variables within a single Hierarchical Data Format (HDF) file. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD). The VJ121C3 product contains 27 Science Datasets (SDS) variables: LST, quality control, view zenith angle, and time of observation for both day and night observations along with emissivity for bands M14, M15, and M16. Low-resolution browse images for day and night LST are also available for each VJ121C3 granule. Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website and the User Guide.
Daily global imagery layer from NASA's Global Imagery Browse Services (GIBS), served as map tiles.
The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Night Version 2 product (VJ221A1N) is compiled daily from nighttime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily (VJ221) swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given night. The VJ221A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The nighttime average is weighted by the observation coverage for that cell. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging. The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. The VJ221A1N product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21A1N) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD). The VJ221A1N product contains seven variables: LST, quality control, emissivity for bands M14, M15, and M16, view zenith angle, and time of observation. A low-resolution browse image for LST is also available for each VJ221A1N granule. Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website and the User Guide.
The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Band M3 product (VJ243D09) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VJ243D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VJ243D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VJ243MA1 product is stored in a separate file as VJ243D01 through VJ243D36. In addition to the bands included in VJ243MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VJ243D37 through VJ243D39. Details regarding methodology are available on the VJ243MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VJ243D09 is the BRDF geometric parameter for VIIRS band M3 (0.488 μm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M3. Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 VIS product (VJ143D29) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VJ143D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VJ143D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible (VIS), near-infrared (NIR), and shortwave bands included in the VJ143MA1 product is stored in a separate file as VJ143D01 through VJ143D36. In addition to the bands included in VJ143MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VJ143D37 through VJ143D39. Details regarding methodology are available on the VJ143MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VJ143D29 is the BRDF volumetric parameter for the VIIRS visible broadband (0.64 μm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for the VIIRS visible broadband. Known Issues * For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website]( https://landweb.modaps.eosdis.nasa.gov/knownissue).
This climate projection dataset contains global, daily gridded data for the SSP585 2030 scenario to be used in the identification and monitoring of hydroclimatic extremes. The Climate Hazards Center Coupled Model Intercomparison Project Phase 6 climate projection dataset (CHC-CMIP6) was developed to support the analysis of climate-related hazards, including extreme heat conditions, over the recent past and in the near-future. Global daily high resolution (0.05°) grids of the Climate Hazards InfraRed Temperature with Stations temperature product form the basis of the 1983–2016 historical record. Large CMIP6 ensembles from the Shared Socioeconomic Pathway 2-4.5 and SSP 5-8.5 scenarios were then used to develop high resolution daily 2030 and 2050 ‘delta’ fields. These deltas were used to perturb the historical observations, thereby generating 0.05° 2030 and 2050 temperature projections. Finally, monthly counts of frequency of extremes for each variable were derived for each time period. Two scenarios were used from CMIP6—Shared Socioeconomic Pathway (SSP) 2–4.5 and 5–8.537. The SSP245 scenario is based on ‘middle-of-the-road’ projections of development (SSP2). The SSP585 scenario projects rapid fossil fuel development and increased global market integration (SSP5). These are generally considered the most-likely scenario (SSP245) and the high-emissions scenario (SSP585) Given the two projection periods 2025–2035 and 2045–2055, projections for four CMIP6 scenarios (2030_SSP245, 2030_SSP585, 2050_SSP245, 2050_SSP585) were derived. Counts of the number of extreme days per month were calculated for Tmax for the four scenarios. Definitions of extremes for each variable were based on two methods: known thresholds (30°C and 40.6°C) and by calculating pixel-specific breakpoints using the 95th and 99th percentile. 30°C and 40.6°C represent moderate and extreme heat exposure. These were chosen based on documented thresholds for agricultural and human heat stress. For each variable, year, and scenario, the number of days surpassing each variables’ thresholds were calculated. For Tmax for each pixel, the daily 95th and 99th percentiles were calculated using 1983–2016 daily data, resulting in a 95th and 99th percentile value for each variable. For each of these variables, each year (1983–2016), and each of the four scenarios, the number of days for each month were calculated at each pixel that surpass these percentile-defined extreme values. More information can be found in this article in the Nature journal and and in this technical documentation.
Extreme high temperatures: areas where the number of days per year with maximum temperatures above 35ºC will increase by more than 15 days. Pixels with a value higher than the specified threshold (35ºC) were given a value of 1 (YES response) The long-term change in annual max temperature is calculated over a 20 year time period, from 2041 to 2060 (mid term), with SSP5-8.5. **Data publication:** 2022-01-26 **Contact points:** Resource Contact: [IPCC WGI Interactive Atlas](mailto:ipcc-ddc@ifca.unican.es) Metadata Contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) **Resource constraints:** More information on IPCC data license at: https://interactive-atlas.ipcc.ch/license **Online resources:**
The ECOsystem Spaceborne Thermal Radiometer Experiment on Space Station (ECOSTRESS) mission measures the temperature of plants to better understand how much water plants need and how they respond to stress. ECOSTRESS is attached to the International Space Station (ISS) and collects data globally between 52° N and 52° S latitudes. The ECOSTRESS Tiled Land Surface Temperature and Emissivity Instantaneous Level 2 Global 70 m (ECO_L2T_LSTE) Version 3 data product provides atmospherically corrected land surface temperature and emissivity (LST&E) values derived from the five thermal infrared (TIR) bands using the Temperature-Emissivity Separation (TES) algorithm. In addition, a Sea Surface Temperature (SST) layer is included that is valid over all water surfaces (ocean and inland water). The L2 LST&E and SST algorithms run on all pixels regardless of land, ocean, or cloud. This tiled data product is subset from the ECO_L2G_LSTE data product using a modified version of the Military Grid Reference System (MGRS) which divides Universal Transverse Mercator (UTM) zones into square tiles that are 109.8 km by 109.8 km with a 70 meter (m) spatial resolution. The ECO_L2T_LSTE Version 3 data product is provided in Cloud Optimized GeoTIFF (COG) format, and each variable is distributed as a separate COG. Each granule contains 18 variables of LST, quality control flags (QC), band emissivities (bands 1-5), band emissivity error (bands 1-5), wideband emissivity (EmisWB), SST, cloud_mask, water_mask, view_zenith, and height. Known Issues * Solar Array Obstruction: Some ECOSTRESS scenes may be affected by solar array obstructions from the ISS, potentially impacting data quality in obstructed pixels. The 'FieldOfViewObstruction' metadata field is reliably populated and accurate for all products generated on or after October 2024, following fixes to the PGE docker configuration and updates to the L1A_RAW_PIX software. Prior to October 2024, the field was not reliably populated; a list of confirmed affected scenes was maintained and is recommended for verifying historical data. * Historical acquisition gaps and anomalies (2018–2023): Irrecoverable data loss occurred due to Mass Storage Unit (MSU) failures, resulting in permanent gaps in the observational record where no ECOSTRESS data was acquired. Other early issues, including band 4 striping (Feb 2020), 3-band TES mode limitations (May 2019–April 2023), and noisy data periods (e.g., May–July 2025), have been mitigated through reprocessing, firmware updates, and instrument recovery. Version 3 products incorporate these improvements where data exists and are unaffected by ongoing issues, but the permanent historical gaps remain, and caution is advised for time-series analyses spanning affected periods. * Product formats: Version 3 discontinues swath-based (non-gridded) HDF5 products for Level 2 LST&E and Cloud outputs. Only gridded (ECO_L2G_LSTE and ECO_L2G_CLOUD in HDF5) and tiled (ECO_L2T_LSTE in Cloud-Optimized GeoTIFF) formats are available for Level 2 products. Swath-based products remain available for Level 1 products (e.g., ECO_L1B_RAD, ECO_L1B_GEO). Version 3 discontinues HDF5 products for Level 2 STARS, Level 3 Evapotranspiration, and Level 4 Evaporative Stress Index, and Water Use Efficiency outputs. Only tiled (Cloud-Optimized GeoTIFF) formats remain available for these products. Users transitioning from Version 2 should verify compatibility with the new structures. * Geolocation considerations: While geolocation is improved in Collection 3 tiled products (fixed MGRS grid), gridded products may reference legacy "GeolocationAccuracyQA" flags. Use "best" and "good" scenes for applications sensitive to precise positioning.
The delivery of all Suomi National Polar-orbiting Partnership (Suomi NPP) VIIRS science data products will cease on November 2, 2026 (2026/306). Data users are encouraged to transition to the equivalent VJ218C1 (primary) or VJ118C1 (secondary) data products. The VNP18C1 Version 2 is a NASA/NOAA Suomi National Polar-Orbiting Partnership (Suomi NPP) Visible Infrared Imaging Radiometer Suite (VIIRS) Downward Shortwave Radiation (DSR) Level 3 Climate Modeling Grid (CMG) product. It is produced at 0.05 degree pixel resolution at daily intervals. DSR is the incident solar radiation over land surfaces in the shortwave spectrum (300-4,000 nanometers) and is a significant variable in land surface models (LSMs), receiving increased attention due to its importance for the management and operation of solar energy systems. The VNP18 algorithm adapts the narrowband look-up table (LUT) approach to estimate DSR. The LUTs consider different types of loadings of aerosols and clouds at a variety of illumination and viewing geometry. The Algorithm Theoretical Basis Document (ATBD) is forthcoming and will provide additional details regarding the methodology used to create the data. The VNP18C1 product is aggregated from VNP18A1 files and includes one set of global 3-hour DSR variables and daily mean DSR.
A suite of Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature and Emissivity (LST&E) products are available in Collection 6.1. The MYD21 Land Surface Temperature (LST) algorithm differs from the algorithm of the MYD11 LST products, in that the MYD21 algorithm is based on the ASTER Temperature/Emissivity Separation (TES) technique, whereas the MYD11 uses the split-window technique. The MYD21 TES algorithm uses a physics-based algorithm to dynamically retrieve both the LST and spectral emissivity simultaneously from the MODIS thermal infrared bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions. The MYD21A1N dataset is produced daily from nighttime Level 2 Gridded (L2G) intermediate LST products. The L2G process maps the daily MYD21 swath granules onto a sinusoidal MODIS grid and stores all observations falling over a gridded cell for a given day. The MOD21A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all observations that are cloud free and have good LST&E accuracies. The nighttime average is weighted by the observation coverage for that cell. Only observations having an observation coverage greater than a 15% threshold are considered. The MYD21A1N product contains seven Science Datasets (SDS), which include the calculated LST as well as quality control, the three emissivity bands, view zenith angle, and time of observation. Additional details regarding the methodology used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD). Known Issues * Users of MODIS LST products may notice an increase in occurrences of extreme high temperature outliers in the unfiltered MxD21 Version 6 and 6.1 products compared to the heritage MxD11 LST products. This can occur especially over desert regions like the Sahara where undetected cloud and dust can negatively impact both the MxD21 and MxD11 retrieval algorithms. * In the MxD11 LST products, these contaminated pixels are flagged in the algorithm and set to fill values in the output products based on differences in the band 32 and band 31 radiances used in the generalized split window algorithm. In the MxD21 LST products, values for the contaminated pixels are retained in the output products (and may result in overestimated temperatures), and users need to apply Quality Control (QC) filtering and other error analyses for filtering out bad values. High temperature outlier thresholds are not employed in MxD21 since it would potentially remove naturally occurring hot surface targets such as fires and lava flows. * High atmospheric aerosol optical depth (AOD) caused by vast dust outbreaks in the Sahara and other deserts highlighted in the example documentation are the primary reason for high outlier surface temperature values (and corresponding low emissivity values) in the MxD21 LST products. Future versions of the MxD21 product will include a dust flag from the MODIS aerosol product and/or brightness temperature look up tables to filter out contaminated dust pixels. It should be noted that in the MxD11B day/night algorithm products, more advanced cloud filtering is employed in the multi-day products based on a temporal analysis of historical LST over cloudy areas. This may result in more stringent filtering of dust contaminated pixels in these products. * In order to mitigate the impact of dust in the MxD21 V6 and 6.1 products, the science team recommends using a combination of the existing QC bits, emissivity values, and estimated product errors, to confidently remove bad pixels from analysis. For more details, refer to this dust and cloud contamination example documentation. * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Valid Observation Band M1 product (VJ243D42) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VJ243D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VJ243D product contains just one data layer for each of the parameters included in the VJ243MA2 product. VJ243D40 through VJ243D53 are the 30 arc second BRDF/Albedo Quality values, the Local Solar Noon values, the Valid Observations of the moderate resolution bands (M1 through M5, M7, M8, M10, and M11) plus the Day/Night Band (DNB), the Snow Status, and the Uncertainty. Details regarding methodology are available on the VJ243MA2 product page and in the Algorithm Theoretical Basis Document (ATBD). VJ243D42 contains the valid observation quality layer representing each of the 16 days of the retrieval period for VIIRS band M1. Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
Ocean temperature: areas where the temperature of the sea at surface level is above 25ºC. Pixels with a value higher than the specified threshold (25ºC) were given a value of 1 (YES response) The long-term change in annual ocean temperature is calculated over a 20 year time period, from 2021 to 2040 (near term), with SSP5-8.5. **Data publication:** 2022-01-26 **Contact points:** Resource Contact: [IPCC WGI Interactive Atlas](mailto:ipcc-ddc@ifca.unican.es) Metadata Contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) **Resource constraints:** More information on IPCC data license at: https://interactive-atlas.ipcc.ch/license **Online resources:**
The Terra Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature/Emissivity Monthly (MOD11B3) Version 6.1 product provides average monthly per pixel Land Surface Temperature and Emissivity (LST&E) in a 1,200 by 1,200 kilometer (km) tile with a pixel size of 5,600 meters (m). Each LST&E pixel value in the MOD11B3 is a simple average of all the corresponding values from the MOD11B1 collected during the month period. Each MOD11B3 granule consists of 19 layers including daytime and nighttime layers for LSTs, quality control assessments, observation times, view zenith angles, and number of clear sky observations along with percentage of land in the tile and emissivities from bands 20, 22, 23, 29, 31, and 32. Unique to the MOD11B products are additional day and night LST layers generated from band 31 of the corresponding 1 km MOD11_L2 swath product aggregated to the 6 km grid. Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
Weather information: countries where there are weather forecasts available. Pixels with a value higher than the specified threshold (50%) were given a value of -1 (YES response) Official weather observations, weather forecasts and climatological information for selected cities supplied by National Meteorological & Hydrological Services (NMHSs) worldwide. The NMHSs make official weather observations in their respective countries. Links to their official weather service websites and tourism board/organization are also provided whenever available. Weather icons are shown alongside worded forecasts in this version to facilitate visual inspection. By June 2021, WWIS provided official weather information for 2963 cities in which 2819 cities are available with forecast from 139 members while 2177 cities are available with climatological information from 170 members. **Data revision:** 2021-07-01 **Contact points:** Contact: [WMO](mailto:webmaster@worldweather.org) Metadata contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) FAO-UN **Resource constraints:** License CC BY-NC-ND 4.0: Attribution-NonCommercial-NoDerivatives 4.0 International Notes to users of the forecast data and climatological information of the WWIS website: 1. Acknowledgement must be given to the WMO World Weather Information Service (https://worldweather.wmo.int) as the source of information. 2. The forecast and climatological information of the WWIS website must be reproduced accurately. 3. Disclaimer: https://worldweather.wmo.int/en/disclaimer.html **Online resources:** Download data from World Weather Information Service Official Forecasts
The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Land Surface Temperature and Emissivity (LST&E) Night Version 2 product (VJ121A1N) is compiled daily from nighttime Level 2 Gridded (L2G) intermediate products. The L2G process maps the daily VJ121 swath granules onto a sinusoidal MODIS grid and stores all observations overlapping a gridded cell for a given night. The VJ121A1 algorithm sorts through all these observations for each cell and estimates the final LST value as an average from all cloud-free observations that have good LST accuracies. The nighttime average is weighted by the observation coverage for that cell. Only observations having observation coverage more than a certain threshold (15%) are considered for this averaging. The 1 kilometer dataset is derived through resampling the native 750 meter VIIRS resolution in the input product. The VJ121A1N product is developed synergistically with the Moderate Resolution Imaging Spectroradiometer (MODIS) LST&E Version 6.1 product (MOD21A1N) using the same input atmospheric products and algorithmic approach. The overall objective for NASA VIIRS products is to ensure the algorithms and products are compatible with the MODIS Terra and Aqua algorithms to promote the continuity of the Earth Observation System (EOS) mission. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD). The VJ121A1N product contains seven Science Datasets (SDS) variables: LST, quality control, emissivity for bands M14, M15, and M16, view zenith angle, and time of observation. A low-resolution browse image for LST is also available for each VJ121A1N granule. Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website and the User Guide.
Rainfall data . See the more detailed technical <a href="https://hdx-hapi.readthedocs.io/en/latest/data_usage_guides/
A suite of Moderate Resolution Imaging Spectroradiometer (MODIS) Land Surface Temperature and Emissivity (LST&E) products are available in Collection 6.1. The MOD21 Land Surface Temperatuer (LST) algorithm differs from the algorithm of the MOD11 LST products, in that the MOD21 algorithm is based on the ASTER Temperature/Emissivity Separation (TES) technique, whereas the MOD11 uses the split-window technique. The MOD21 TES algorithm uses a physics-based algorithm to dynamically retrieve both the LST and spectral emissivity simultaneously from the MODIS thermal infrared bands 29, 31, and 32. The TES algorithm is combined with an improved Water Vapor Scaling (WVS) atmospheric correction scheme to stabilize the retrieval during very warm and humid conditions. The MOD21A2 dataset is an 8-day composite LST product at 1,000 meter spatial resolution that uses an algorithm based on a simple averaging method. The algorithm calculates the average from all the cloud free MOD21A1D and MOD21A1N daily acquisitions from the 8-day period. Unlike the MOD21A1 data sets where the daytime and nighttime acquisitions are separate products, the MOD21A2 contains both daytime and nighttime acquisitions as separate Science Dataset (SDS) layers within a single Hierarchical Data Format (HDF) file. The LST, Quality Control (QC), view zenith angle, and viewing time have separate day and night SDS layers, while the values for the MODIS emissivity bands 29, 31, and 32 are the average of both the nighttime and daytime acquisitions. Additional details regarding the method used to create this Level 3 (L3) product are available in the Algorithm Theoretical Basis Document (ATBD). Known Issues * Users of MODIS LST products may notice an increase in occurrences of extreme high temperature outliers in the unfiltered MxD21 Version 6 and 6.1 products compared to the heritage MxD11 LST products. This can occur especially over desert regions like the Sahara where undetected cloud and dust can negatively impact both the MxD21 and MxD11 retrieval algorithms. * In the MxD11 LST products, these contaminated pixels are flagged in the algorithm and set to fill values in the output products based on differences in the band 32 and band 31 radiances used in the generalized split window algorithm. In the MxD21 LST products, values for the contaminated pixels are retained in the output products (and may result in overestimated temperatures), and users need to apply Quality Control (QC) filtering and other error analyses for filtering out bad values. High temperature outlier thresholds are not employed in MxD21 since it would potentially remove naturally occurring hot surface targets such as fires and lava flows. * High atmospheric aerosol optical depth (AOD) caused by vast dust outbreaks in the Sahara and other deserts highlighted in the example documentation are the primary reason for high outlier surface temperature values (and corresponding low emissivity values) in the MxD21 LST products. Future versions of the MxD21 product will include a dust flag from the MODIS aerosol product and/or brightness temperature look up tables to filter out contaminated dust pixels. It should be noted that in the MxD11B day/night algorithm products, more advanced cloud filtering is employed in the multi-day products based on a temporal analysis of historical LST over cloudy areas. This may result in more stringent filtering of dust contaminated pixels in these products. * In order to mitigate the impact of dust in the MxD21 V6 and 6.1 products, the science team recommends using a combination of the existing QC bits, emissivity values, and estimated product errors, to confidently remove bad pixels from analysis. For more details, refer to this dust and cloud contamination example documentation. * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
For more information on this data product including usage, metadata, mission information, and help resources, please reference PACE Aerosol Optical Depth March 2024 – present (8 Day Average) - OverviewArcGIS Image Service, WMS, and WCS functionality may be found through the Image Service REST Endpoint: https://gis.earthdata.nasa.gov/portal/rest/services/GESDISC/PACE_OCI_L3M_AOD/ImageServer
Extreme low temperatures: areas where minimum temperatures are below 0ºC for at least 15 days on average per year. Pixels with a value lower than the specified threshold (0ºC) were given a value of 1 (YES response) Historical climate data are an ensemble of outputs from CMIP6 earth system models for the time period 1981-2010 **Data publication:** 2022-01-26 **Contact points:** Resource Contact: [IPCC WGI Interactive Atlas](mailto:ipcc-ddc@ifca.unican.es) Metadata Contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) **Resource constraints:** More information on IPCC data license at: https://interactive-atlas.ipcc.ch/license **Online resources:**
Ocean temperature: areas where the temperature of the sea at surface level is above 25ºC. Pixels with a value higher than the specified threshold (25ºC) were given a value of 1 (YES response) The long-term change in annual ocean temperature is calculated over a 20 year time period, from 2041 to 2060 (mid term), with SSP1-2.6. **Data publication:** 2022-01-26 **Contact points:** Metadata Contact: [OCB Environment](mailto:OCB-Environment-List@fao.org) Resource Contact: [IPCC WGI Interactive Atlas](mailto:ipcc-ddc@ifca.unican.es) **Resource constraints:** More information on IPCC data license at: https://interactive-atlas.ipcc.ch/license **Online resources:**
Relative humidity at 18h (local time) at a height of 2 metres above the surface. This variable describes the amount of water vapour present in air expressed as a percentage of the amount needed for saturation at the same temperature. Unit: %. The Relative humidity variable is part of the Agrometeorological indicators dataset produced by the European Centre for Medium-Range Weather Forecasts (ECMWF) through the Copernicus Climate Change Service (C3S). The Agrometeorological indicators dataset provides daily surface meteorological data for the period from 1979 to present as input for agriculture and agro-ecological studies. This dataset is based on the hourly ECMWF ERA5 data at surface level and is referred to as AgERA5. References: https://doi.org/10.24381/cds.6c68c9bb The Copernicus Climate Change Service (C3S) aims to combine observations of the climate system with the latest science to develop authoritative, quality-assured information about the past, current and future states of the climate in Europe and worldwide. ECMWF operates the Copernicus Climate Change Service on behalf of the European Union and will bring together expertise from across Europe to deliver the service. **Data publication:** 2021-01-30 **Data revision:** 2021-10-05 **Contact points:** Metadata Contact: ECMWF - European Centre for Medium-Range Weather Forecasts Resource Contact: ECMWF Support Portal **Data lineage:** Agrometeorological data were aggregated to daily time steps at the local time zone and corrected towards a finer topography at a 0.1° spatial resolution. The correction to the 0.1° grid was realized by applying grid and variable-specific regression equations to the ERA5 dataset interpolated at 0.1° grid. The equations were trained on ECMWF's operational high-resolution atmospheric model (HRES) at a 0.1° resolution. This way the data is tuned to the finer topography, finer land use pattern and finer land-sea delineation of the ECMWF HRES model. **Resource constraints:** **License Permission** This License is free of charge, worldwide, non-exclusive, royalty free and perpetual. Access to Copernicus Products is given for any purpose in so far as it is lawful, whereas use may include, but is not limited to: reproduction; distribution; communication to the public; adaptation, modification and combination with other data and information; or any combination of the foregoing. Where the Licensee communicates or distributes Copernicus Products to the public, the Licensee shall inform the recipients of the source by using the following or any similar notice: - Generated using Copernicus Climate Change Service information [Year] and/or - Generated using Copernicus Atmosphere Monitoring Service information [Year] More information on Copernicus License in PDF version at: https://cds.climate.copernicus.eu/api/v2/terms/static/licence-to-use-copernicus-products.pdf **Online resources:** Download the data from Google Cloud Storage Download the data from File-Browser Data download from original source
The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo white-sky albedo for band M11 (VJ243D75) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VJ243D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VJ243D product contains just one data layer. VJ243D54 through VJ243D79 are the albedo products of the VNP43D BRDF/Albedo product suite. Black-sky albedo (BSA) and white-sky albedo (WSA) values are provided for the nine VIIRS moderate resolution bands (M1 through M5, M7, M8, M10, and M11) along with the visible, near-infrared (NIR), and shortwave bands included in the VJ243MA3 product. In addition to the bands included in VJ243MA3, this product suite includes albedo values for the VIIRS Day/Night Band (DNB). The black-sky albedo (directional hemispherical reflectance) is defined as albedo in the absence of a diffuse component and is a function of solar zenith angle. White-sky albedo (bihemispherical reflectance) is defined as albedo in the absence of a direct component when the diffuse component is isotropic. Details regarding methodology are available on the VJ243MA3 product page and in the Algorithm Theoretical Basis Document (ATBD). VJ243D75 is the WSA for VIIRS band M11 (2.25 μm). Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
The NOAA-20 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 3 Band M4 product (VJ143D12) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VJ143D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VJ143D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VJ143MA1 product is stored in a separate file as VJ143D01 through VJ143D36. In addition to the bands included in VJ143MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VJ143D37 through VJ143D39. Details regarding methodology are available on the VJ143MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VJ143D12 is the BRDF geometric parameter for VIIRS band M4 (0.555 μm). The geometric parameter, in conjunction with the isotropic and volumetric parameters, is used to derive the BRDF/Albedo values for VIIRS band M4. Known Issues * For complete information about known issues please refer to the [MODIS/VIIRS Land Quality Assessment website]( https://landweb.modaps.eosdis.nasa.gov/knownissue).
The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 1 Band M7 product (VJ243D16) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VJ243D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VJ243D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VJ243MA1 product is stored in a separate file as VJ243D01 through VJ243D36. In addition to the bands included in VJ243MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VJ243D37 through VJ243D39. Details regarding methodology are available on the VJ243MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VJ243D16 is the BRDF isotropic parameter for VIIRS band M7 (0.865 μm). The isotropic parameter, in conjunction with the volumetric and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M7. Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.
POWER_CLIMATOLOGY_RADIATION_LST
POWER_CLIMATOLOGY_METEOROLOGY_LST
The NOAA-21 Visible Infrared Imaging Radiometer Suite (VIIRS) Bidirectional Reflectance Distribution Function (BRDF) and Albedo Model Parameter 2 Band M7 product (VJ243D17) is produced daily using 16 days of data at 30 arc second (1,000 meter) resolution. Data are temporally weighted to the ninth day, which is reflected in the file name. The VJ243D product suite is provided in a Climate Modeling Grid (CMG), which covers the entire globe for use in climate simulation models. Due to the large file size, each VJ243D product contains just one data layer. Each of the three model parameters (isotropic, volumetric, and geometric) for each of the nine VIIRS moderate resolution bands along with the visible, near-infrared (NIR), and shortwave bands included in the VJ243MA1 product is stored in a separate file as VJ243D01 through VJ243D36. In addition to the bands included in VJ243MA1, this product suite includes model parameters for the VIIRS Day/Night Band (DNB) as VJ243D37 through VJ243D39. Details regarding methodology are available on the VJ243MA1 product page and in the Algorithm Theoretical Basis Document (ATBD). VJ243D17 is the BRDF volumetric parameter for VIIRS band M7 (0.865 μm). The volumetric parameter, in conjunction with the isotropic and geometric parameters, is used to derive the BRDF/Albedo values for VIIRS band M7. Known Issues * For complete information about known issues please refer to the MODIS/VIIRS Land Quality Assessment website.