Local moisture recycling across the globe
<p>Please cite the corresponding manuscript when using this data</p> <p>Theeuwen, J. J. E., Staal, A., Tuinenburg, O. A., Hamelers, B. V. M., and Dekker, S. C.: Local moisture recycling across the globe, Hydrol. Earth Syst. Sci., 27, 1457–1476, https://doi.org/10.5194/hess-27-1457-2023, 2023.</p> <p>This dataset includes multiple files that are listed below:</p> Overview of the files included in this dataset <table><tbody> <tr> <td>Filename</td> <td>Description</td> </tr> <tr> <td>1.5degrees_weighted_yearly_average_moisture_recycling.nc</td> <td>Recycling ratio of evaporated moisture within the source grid cell of 1.5 degrees. These are multi-year (2008-2017) averaged values. </td> </tr> <tr> <td>moisture_recycling_r9_**.nc</td> <td>Multi-year (2008-2017) monthly average of the local moisture recycling ratio (r9). THe number (**) indicates which month, with 01 being January and 12 being December.</td> </tr> <tr> <td>weighted_seasonal_average_moisture_recycling.nc</td> <td>Multi-year (2008-2017) seasonal averages of the local moisture recycling ratio (r9). The first dimension of this file represents the season. 1: DJF, 2:MAM, 3:JJA, 4:SON.</td> </tr> <tr> <td>weighted_yearly_average_moisture_recycling_r*.nc</td> <td>The different definitions of the local moisture recycling ratio (r1, r9, r25). All are multi-year (2008-2017) averaged moisture recycling ratios</td> </tr> </tbody> </table> <p> </p> <p>The moisture recycling at a resolution of 0.5 degrees has the following shape (360,720). Dimension 1 indicates the latitude, and dimension 2 indicates the longitude. </p> <p>The latitude ranges from 90 degrees to -90 degrees (np.arange(90,-90,-0.5))</p> <p>The longitude ranges from 0 degrees to 360 degrees. </p> <p>For a format in which the longitude ranges between -180 and 180 degrees the following lines can be included in python:</p> <p><em>plotlmr=np.zeros(lmr.shape)</em><br><em>plotlmr[:,:360]=lmr[:,360:]</em><br><em>plotlmr[:,360:]=lmr[:,:360]</em></p> <p>Here lmr is the array in the original format.</p> <p>The longitude and latitude arrays can now be defined as follows:</p> <p><em>lats=np.arange(90,-90,-0.5)</em><br><em>lons=np.arange(-180,180,0.5)</em></p>
ShareScore
32/100
Overall dataset sharing score
Score breakdown
These five areas show where the dataset supports — or may limit — practical reuse.
- Stewardship
- 8
- Harmonization
- 4
- Access
- 16
- Reuse readiness
- 0
- Engagement
- 4