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6 results for “Moisture recycling”
Moisture Recycling over the Iberian Peninsula
<p>These data are made available as part of paper: S. J. Gonzalez-Roji, J. Saenz, J. Diaz de Argandona, G. Ibarra-Berastegi (2020) "Moisture recycling over the Iberian Peninsula. The impact of 3DVAR data assimilation", published in <em>Atmosphere </em>(<a href="https://doi.org/10.3390/atmos11010019">https://doi.org/10.3390/atmos11010019</a>). The dataset holds selected postprocessed files that allow to reproduce all the results in the paper.</p> <p>Two WRF experiments nested in ERA-Interim were prepared. The first one (N) was configured as in standard numerical downscaling experiments. The second one (D), with the same parameterizations, included a step of 3DVAR data assimilation every 6 hours. The original experiments covered period 2010-2014 after a year of spin-up (2019). However, D was extended until the end of 2018. </p> <p>The following monthly averaged (accumulated for rain) nc files are included:</p> <p>- Qx/Qy: Refer to the zonal and meridional vertically integrated moisture fluxes for the domain. </p> <p>- Rain: Include the accumulated convective and large-scale precipitation output from the model. </p> <p>- SMOIS: Contains the soil moisture of the model runs.</p> <p>- mask: Defines the area where the recycling ratio is calculated over the Iberian Peninsula. </p> <p>- Rho: Holds the recycling ratio at every grid point. </p> <p>The -N- or -D- characters in the file names indicate whether the files come from the WRF N or WRF D experiments. </p> <p> </p>
Atmospheric moisture recycling in Mediterranean-type climate regions across the world
<p>Please cite the corresponding manuscript when using this data:</p> <p>... (information will follow as soon as the manuscript is published)</p> <p>This dataset includes the local precipitation recycling ratios and the regional moisture recycling ratios for five major Mediterranean-type climate regions across the globe. Below we list these five regions and explain the concepts of local precipitation recycling and regional moisture recycling. </p> <p> </p> <p><strong>Mediterranean-type climate regions</strong></p> <p>Region 1: South West Australia</p> <p>Region 2: West coast of the US (California)</p> <p>Region 3: Central Chile</p> <p>Region 4: Mediterranean Basin (region around the Mediterranean Sea)</p> <p>Region 5: The Cape region of South Africa</p> <p> </p> <p><strong>Local precipitation recycling ratio</strong></p> <p>The local precipitation recycling ratio is the fraction of precipitation that originated within approximately 50 km from where it rains out, i.e., it evaporated from the grid cell where it rains out and the 8 surrounding grid cells. The grid cells have a resolution of 0.5DEGx0.5DEG. A more detailed explanation is provided in the journal article Theeuwen et al. (2024). </p> <p>The files that include local precipitation recycling ratios are:</p> <table> <tbody> <tr> <td><strong>File name</strong></td> <td><strong>Study region</strong></td> <td><strong>Time dimension (month)</strong></td> <td><strong>Latitude range</strong></td> <td><strong>Longitude range</strong></td> </tr> <tr> <td>PLMR_SWAustralia.nc</td> <td>South West Australia</td> <td>January-December</td> <td>-15:-48 DEGN</td> <td>106:154 DEGE</td> </tr> <tr> <td>PLMR_California.nc</td> <td>West coast of the US (California)</td> <td>January-December</td> <td>52:20 DEGN</td> <td>-131:-105 DEGE</td> </tr> <tr> <td>PLMR_CentralChile.nc</td> <td>Centra Chile</td> <td>January-December</td> <td>-10:-54 DEGN</td> <td>-80:-60 DEGE</td> </tr> <tr> <td>PLMR_Med_Basin.nc</td> <td>Mediterranean Basin</td> <td>January-December</td> <td>48:23 DEGN</td> <td>-20:-45 DEGE</td> </tr> <tr> <td>PLMR_SWCapeSA.nc</td> <td>The Cape region of South Africa</td> <td>January-December</td> <td>-26:-40 DEGN</td> <td>10:38 DEGE</td> </tr> </tbody> </table> <p> </p> <p><strong>Regional moisture recycling ratio</strong></p> <p>The regional moisture recycling ratio data includes both regional evaporation recycling ratios as well as regional precipitation recycling ratios. </p> <p>The regional evaporation recycling ratio is the fraction of evaporated water that rains out within the Mediterranean region it evaporated from. </p> <p>The regional precipitation recycling ratio is the fraction of precipitation that originated from the Mediterranean region it rains out in. </p> <p>This data has a resolution of 0.5DEGx0.5DEG and is a multi-year average (years: 2008-2017). A more detailed description is provided in the journal article Theeuwen et al. (2024). </p> <table> <tbody> <tr> <td><strong>Filename</strong></td> <td><strong>Type of recycling</strong></td> <td><strong>Study region</strong></td> </tr> <tr> <td>ERMR_SWAustralia.nc</td> <td>Regional evaporation recycling</td> <td>South West Australia </td> </tr> <tr> <td>ERMR_California.nc</td> <td>Regional evaporation recycling</td> <td>West coast of the US (California)</td> </tr> <tr> <td>ERMR_CentralChile.nc</td> <td>Regional evaporation recycling</td> <td>Centra Chile</td> </tr> <tr> <td>ERMR_Med-Basin.nc</td> <td>Regional evaporation recycling</td> <td>Mediterranean Basin</td> </tr> <tr> <td>ERMR_CapeSA.nc</td> <td>Regional evaporation recycling</td> <td>The Cape region of South Africa</td> </tr> <tr> <td>PRMR_SWAustralia.nc</td> <td>Regional precipitation recycling</td> <td>South West Australia </td> </tr> <tr> <td>PRMR_California.nc</td> <td>Regional precipitation recycling</td> <td>West coast of the US (California)</td> </tr> <tr> <td>PRMR_CentralChile.nc</td> <td>Regional precipitation recycling</td> <td>Centra Chile</td> </tr> <tr> <td>PRMR_Med-Basin.nc</td> <td>Regional precipitation recycling</td> <td>Mediterranean Basin</td> </tr> <tr> <td>PRMR_CapeSA.nc</td> <td>Regional precipitation recycling</td> <td>The Cape region of South Africa</td> </tr> </tbody> </table>
Amazon and Congo forest moisture recycling 1979-2014
<p>Evaporation and precipitation recycling of the rainforests in South America and Africa 1979-2014. Do not use the spin-up years 1979 and 2014. </p>
Datasets for Quantifying the impact of land use and land cover change on moisture recycling with convection-permitting WRF-tagging modeling in the agro-pastoral ecotone of northern China
<p>These datasets are the processed and refined data that support and lead to the described results and allow other readers to assess the conclusions in the paper, entitled “<strong>Quantifying the impact of land use and land cover change on moisture recycling with convection-permitting WRF-tagging modeling in the agro-pastoral ecotone of northern China </strong> ”.</p>
Global terrestrial moisture recycling in Shared Socioeconomic Pathways
<p>Data generated for the preprint "Global terrestrial moisture recycling in Shared Socioeconomic Pathways" by Staal et al.:</p> <p>Staal, A., Meijer, P., Nyasulu, M.K., Tuinenburg, O.A. & Dekker, S.C. (preprint). Global terrestrial moisture recycling in Shared Socioeconomic Pathways. [link and info to be added later] </p> <p>Data are stored as netcdf files and zipped. The global files contain monthly global terrestrial precipitation recycling in mm/month. The basin files contain monthly basin precipitation recycling in mm/month. For SSPs 1-2.6, 2-4.5, 3-7.0, and 5-8.5 the monthly results are given for 2050-2059 and 2090-2099. For SSP2-4.5, also monthly results for 2015-2024 are provided. Please see Staal et al. for further details.</p>
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>
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