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ZENODO
Dataset . 2019
Data sources: ZENODO
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ZENODO
Dataset . 2019
Data sources: ZENODO
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CWATM v1.04 - 0.5 deg dataset

Authors: Burek Peter; Satoh Yusuke;

CWATM v1.04 - 0.5 deg dataset

Abstract

CWATM dataset for version 1.04 ------------------------------ CWATM_Data ¦ ¦- README.txt ¦ +- climate_rhine ( a cut rhine cliamte data set, description see below) ¦ ¦ ¦ +- precipitation, average daily temperature, potential evaporation ¦ +- output ¦ +- input_data ¦ +---areamaps ¦ ¦- globalarea,rhine30min, ... ¦ +---landcover ¦ +---forest ¦ ¦ ¦- CropCoefficientForest_10days ¦ ¦ ¦- interceptcapForest10days ¦ ¦ ¦- maxRootdepth, minSoilDepthFrac ¦ ¦ ¦- rootFraction1, rootFraction2 ¦ ¦ ¦ +---grassland (same var as forest) ¦ ¦ ¦ +---irrNonPaddy (same var as forest) ¦ ¦ ¦ +---irrPaddy (same var as forest) ¦ +---landsurface ¦ ¦- fractionlandcover, global_clone ¦ ¦ ¦ +---albedo ¦ ¦ ¦- albedo ¦ ¦ ¦ +---topo ¦ ¦ ¦- dz_Rel_hydro1k, elvstd, tanslope ¦ +---groundwater ¦ ¦- kSatAquifer, recessionCoeff, specificYield ¦ +---soil ¦ ¦- alpha1-3, lambda1-3, ksat1-3,thetas1-3, thetar1-3 for forest and for other landcover ¦ ¦- cropgrp, percolationImp, storagedepth ¦ +---routing ¦- ldd, catchment, cellarea ¦ +---kinematic ¦ ¦- chanbnkf, chanbw, changrad, chanleng, chanman ¦ +---lakereservoirs ¦- lakeResArea, lakeResDis,lakeResID, lakeResType, lakeResVolRes, lakeResYear ¦- smalllakeResArea, smalllakeResDis,smalllakeResID, smalllakeResType, smalllakeResVolRes, smalllakeResYear PLEASE RUN: run_rhine30min.bat or run_rhine30min.sh (for Linux) if necessary you have to change pathes in run_rhine30min.bat or run_rhine30min.sh or settings_rhine30min.ini (line 87-91) CLIMATE DATA SET Daily-resolution observed climate data on (land only) 0.5°x0.5° lat-lon grid, HERE: Only for the Rhine catchment based on the reanalysis data set ERA-Interim and using the bias target GPCC. The data set covers the period 1901-2012, where the data for 1901-1978 are taken from WFD, and from 1979 onwards from WFDEI.GPCC Data Type: Daily observed atmospheric climate Variables: tavg: Avg. Temperature [K] pr: precipitation (snowfall + rain) [kg m-2 s-1] ET_Ref: Potential reference evapotranspiration rate (Penman–Monteith equations) EW_ref: Potential evaporation rate from water surface ( Penman–Monteith equations) HERE: a dataset from 1/1/1961- 31/12/2010 with each parameter in a single netcdf file. Weedon, G.P., S.S. Gomes, P.P. Viterbo, W.J. Shuttleworth, E.E. Blyth, H.H. Österle, J.C. Adam, N.N. Bellouin, O.O. Boucher, and M.M. Best, 2011: Creation of the WATCH Forcing Data and Its Use to Assess Global and Regional Reference Crop Evaporation over Land during the Twentieth Century. J. Hydrometeor., 12, 823–848, doi: 10.1175/2011JHM1369.1 Related Sites: https://www.isimip.org/gettingstarted/details/5/ http://www.waterandclimatechange.eu/about/watch-forcing-data-20th-century But any other climate data can be used!

Keywords

CWatM

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
views
OpenAIRE UsageCountsViews provided by UsageCounts
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