2010_2022_ERA5_MonthlyPrecipitation_5k
<p>Precipitation from the ERA5 reanalysis archive supplied by the European Centre of Medium Range Weather Forecasting for 2010 - 2022. </p> <p><strong>Abstract: </strong></p> <p>Precipitation from the ERA5 reanalysis archive supplied by the European Centre for Medium-Range Weather Forecasting, for 2010 - 2022. The original data is at 0.25-degree resolution and was downscaled by ERA extraction algorithms. The daily data have been aggregated into decadal, monthly, and annual datasets to match the outputs produced by NASA from the MODIS imagery temperature and vegetation Index datasets. The resolution was also chosen to match these MODIS datasets.</p> <p> </p> <p><strong>File naming scheme:</strong> </p> <p>Monthly Precipitation: 2022 <a href="../api/records/13122971/draft/files/moeraprecmmmonthly2022.zip/content" target="_blank" rel="noopener noreferrer">moeraprecmmmonthly2022.zip</a> ; 2010 to 2021 <a href="../api/records/13122971/draft/files/moeraprecmmmonthly20102021.zip/content" target="_blank" rel="noopener noreferrer">moeraprecmmmonthly20102021.zip</a></p> <p>Daily, decadal, and annual precipitation can be found <a href="https://drive.google.com/drive/folders/1HzVeyfGSTms_IRYW5QntD-QqHk1Vyea8?usp=sharing">here. </a></p> <p> </p> <p><strong>Projection + EPSG code:</strong><br>Latitude-Longitude/WGS84 (EPSG: 4326)<br><strong>Spatial extent:</strong><br>Extent -32.0000000000000000,10.0000000000000000 : 68.9999999999999574,81.9999999999999716<br><strong>Spatial resolution:</strong><br>0.25 (5000m) <br><strong>Temporal resolution:</strong><br>Monthly from 2010 to 2022</p> <p><strong>Pixel values</strong></p> <p>Precipitation in meter</p> <p><br><strong>Source: </strong></p> <p>ERA5 Precipitation by the European Centre for Medium-Range Weather Forecasting</p> <p><br><strong>Software used:</strong><br> <br>The software used for map production is ESRI ArcMap 10.8</p> <p><br><strong>License: </strong>CC-BY-SA 4.0<br><strong>Processed by:</strong><br>ERGO (Environmental Research Group Oxford) https://ergoonline.co.uk/ for the H2020 MOOD project</p>
ShareScore
44/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 12
- Harmonization
- 4
- Access
- 20
- Reuse readiness
- 8
- Engagement
- 0