Scalar wind speed (Global - Monthly) - CCMP 🌐

The zonal wind speed layer was original produced by the MEaSUREs Cross-Calibrated Multi-Platform (CCMP) project and derived using satellite inputs coupled with a background analysis wind field from ECMWF to produce a monthly mean wind product that represents inputs of actual observations to represent a continuous observational data record from July 1987 through December 2011. Spatial coverage is global, and extends to approximately 78 degrees North and South latitude. References: CCMP_MEASURES_ATLAS_L4_OW_L3_5A_MONTHLY_WIND_VECTORS_FLK doi:10.5067/CCF35-01AM1 Atlas, R., R. N. Hoffman, J. Ardizzone, S. M. Leidner, J. C. Jusem, D. K. Smith, D. Gombos, 2011: A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications. Bull. Amer. Meteor. Soc., 92, 157-174. doi: 10.1175/2010BAMS2946.1 **Supplemental Information:** **Description**: mean 10m zonal wind (U) **Units**: m/s **Citation:** Mears, C.; Lee, T.; Ricciardulli, L.; Wang, X.; Wentz, F., 2022: RSS Cross-Calibrated Multi-Platform (CCMP) monthly ocean vector wind analysis on 0.25 deg grid, Version 3.0, Remote Sensing Systems, Santa Rosa, CA. Available at www.remss.com https://doi.org/10.56236/RSS-uv1m30 **Contact points:** Resource Contact: [Remote Sensing Systems](mailto:support@remss.com) **Resource constraints:** The Remote Sensing Systems Cross-Calibrated Multi-Platform (CCMP) ocean vector wind analysis products on 0.25 deg grid, Version 3.0 by Remote Sensing Systems is licensed under a Creative Commons Attribution 4.0 International License. **Online resources:** CCMP Wind Vector Analysis Product

The meridional wind vector layer was original produced by the MEaSUREs Cross-Calibrated Multi-Platform (CCMP) project and derived using satellite inputs coupled with a background analysis wind field from ECMWF to produce a monthly mean wind product that represents inputs of actual observations to represent a continuous observational data record from July 1987 through December 2011. Spatial coverage is global, and extends to approximately 78 degrees North and South latitude. References: CCMP_MEASURES_ATLAS_L4_OW_L3_5A_MONTHLY_WIND_VECTORS_FLK doi:10.5067/CCF35-01AM1 Atlas, R., R. N. Hoffman, J. Ardizzone, S. M. Leidner, J. C. Jusem, D. K. Smith, D. Gombos, 2011: A cross-calibrated, multiplatform ocean surface wind velocity product for meteorological and oceanographic applications. Bull. Amer. Meteor. Soc., 92, 157-174. doi: 10.1175/2010BAMS2946.1 **Supplemental Information:** **Description**: mean 10m meridional wind (V) **Units**: m/s **Citation:** Mears, C.; Lee, T.; Ricciardulli, L.; Wang, X.; Wentz, F., 2022: RSS Cross-Calibrated Multi-Platform (CCMP) monthly ocean vector wind analysis on 0.25 deg grid, Version 3.0, Remote Sensing Systems, Santa Rosa, CA. Available at www.remss.com https://doi.org/10.56236/RSS-uv1m30 **Contact points:** Resource Contact: [Remote Sensing Systems](mailto:support@remss.com) **Resource constraints:** The Remote Sensing Systems Cross-Calibrated Multi-Platform (CCMP) ocean vector wind analysis products on 0.25 deg grid, Version 3.0 by Remote Sensing Systems is licensed under a Creative Commons Attribution 4.0 International License. **Online resources:** CCMP Wind Vector Analysis Product

Mean wind speed at a height of 10 metres above the surface over the period 00h-24h local time. This dataset provides daily surface meteorological data for the period from 1979 to 1992 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. Acquisition and pre-processing of the original ERA5 data is a complex and specialized job. By providing the AgERA5 dataset, users are freed from this work and can directly start with meaningful input for their analyses and modelling. References: https://cds.climate.copernicus.eu/datasets 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 **Supplemental Information:** No data value: -9999 Unit : m/s Scale Factor : 1.0 Map code : AGERA5-WS **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 at https://creativecommons.org/licenses/by-sa/4.0/ **Online resources:** Download the data from Google Cloud Storage Download the data from File-Browser

Additional Information Resource Watch shows only a subset of the dataset. For access to the full dataset and additional information, click on the “Learn more” button. Mean wind speed for any location on Earth

Reference evapotranspiration per month with a spatial resolution of 0.1 degree. Unit: mm month-1. The dataset contains monthly values for global land areas, excluding Antarctica, since 1979. The dataset has been prepared according to the FAO Penman - Monteith method as described in FAO Irrigation and Drainage Paper 56. The input variables are 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:** 2021-10-30 **Contact points:** Metadata Contact: [AQUASTAT](mailto:aquastat@fao.org) Resource Contact: [AQUASTAT](mailto:aquastat@fao.org) **Data lineage:** Copernicus 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: Attribution-ShareAlike 4.0 International • The dataset contains modified Copernicus Climate Change Service information [1979-to date]; Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. More information on License at https://creativecommons.org/licenses/by-sa/4.0/ **Online resources:** Download the data from Google Cloud Storage Download the data from File-Browser

Reference evapotranspiration per year with a spatial resolution of 0.1 degree. Unit: mm year-1. The dataset contains annual values for global land areas, excluding Antarctica, since 1979. The dataset has been prepared according to the FAO Penman - Monteith method as described in FAO Irrigation and Drainage Paper 56. The input variables are 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:** 2021-10-30 **Contact points:** Metadata Contact: [AQUASTAT](mailto:aquastat@fao.org) Resource Contact: [AQUASTAT](mailto:aquastat@fao.org) **Data lineage:** Copernicus 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: Attribution-ShareAlike 4.0 International • The dataset contains modified Copernicus Climate Change Service information [1979-to date]; Neither the European Commission nor ECMWF is responsible for any use that may be made of the Copernicus information or data it contains. More information on License at https://creativecommons.org/licenses/by-sa/4.0/ **Online resources:** Download the data from Google Cloud Storage Download the data from File-Browser