Bias-corrected EURO-CORDEX RCM simulations for the OPTAIN case studies
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https://zenodo.org/record/6202061
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资源简介:
Bias-corrected EURO-CORDEX RCM simulations are available on a daily timescale for:
-period 1981-2099/2100,
-6 RCM,
-3 scenarios (RCPs 2.6, 4.5 and 8.5),
-7 variables (mean, minimum and maximum temperature, precipitation, solar radiation, wind speed at 2 m and relative humidity) and
-18 domains and 23 locations within these domains.
Bias correction and further downscaling to 0.1° was done using ERA5-Land reanalysis data with non-parametric empirical quantile mapping. Moreover, the interpolation of gridded bias-corrected climate model simulations to the locations was made using universal kriging.
Organization of the data
The name of the files are domain-type.zip, where type is gridded (NetCDF) or point (csv). Each zip file contains multiple files, organized in subfolders: experiment/modelNumber/variable.nc for gridded and experiment/modelNumber/variable-pilotFieldNumber.txt for point data, where experiment is rcp26, rcp45 or rcp85.
domain and pilotFieldNumber
domain
domain location (min and max. Longitude, min and max latitude)
pilotFieldNumber
pilot field location (longitude, latitude)
case study number
country
Name (OPTAIN case study)
01
50.95 51.45 14.55 15.05
1
DEU
Schoeps
02
46.35 47.05 6.55 7.15
2
46.816667 6.95
2
CHE
Petite Glane
02_1
46.75 47.25 7.25 7.75
1
46.983333 7.466667
02_34
47.35 47.85 8.35
3
4
47.433333 8.516667
47.683333 8.616667
02_5
46.15 46.65 5.95 6.45
5
46.4 6.233333
03a
46.65 47.15 17.45 17.95
1
2
3
4
46.92649 17.68246
46.9166 17.68976
46.91283 17.69754
46.91283 17.69723
3a
HUN
Csorsza
03b
46.45 46.95 16.65 17.15
3b
HUN
Felso Valicka
04
52.35 52.85 18.45 18.95
1
52.597469 18.728617
4
POL
Upper Zglowiaczka
05
46.35 46.85 15.35 15.85
5
SVN
Pesnica
06
46.45 46.95 16.15 16.65
6
HUN/SVN
Kebele/Kobiljski
07
49.85 50.35 4.75 5.25
7
BEL
La Wimbe
08
55.15 55.75 23.55 24.05
1
2
55.522057 23.799235
55.42233194 23.82580339
8
LTU
Dotnuvele
09
45.45 45.95 9.65 10.15
9
ITA
Cherio
10
59.45 59.95 10.75 11.25
1
2
3
4
5
6
7
8
59.71949 10.83576
59.6833306 10.8833298
59.6833306 10.8833298
59.665 10.9475
59.665 10.9475
59.841012 10.903597
59.757631 11.072031
59.539623 10.856447
10
NOR
Krogstad
11
46.45 46.95 17.55 18.05
1
2
46.658333 17.75583
46.656944 17.75833
11
HUN
Tetves
12
49.35 49.85 14.75 15.25
1
49.616837 15.078266
12
CZE
Cechticky
13
55.85 56.35 25.85 26.45
13
LVA
Dviete
14
59.75 60.25 17.55 18.05
14
SWE
Ingvastaan Lehstaan
modelNumber
modelNumber
Driving Model (GCM)
Ensemble
RCM
End date
1
EC-EARTH
r12i1p1
CCLM4-8-17
31.12.2100
2
EC-EARTH
r3i1p1
HIRHAM5
31.12.2100
3
HadGEM2-ES
r1i1p1
HIRHAM5
30.12.2099
4
HadGEM2-ES
r1i1p1
RACMO22E
30.12.2099
5
HadGEM2-ES
r1i1p1
RCA4
30.12.2099
6
MPI-ESM-LR
r2i1p1
REMO2009
31.12.2100
variable
variable
description
Unit
Tmean
Mean temperature
°C
Tmin
Min temperature
°C
Tmax
Max temperature
°C
prec
Precipitation
mm
solarRad
Solar radiation
MJ/m2
windSpeed
Wind speed at 2m
m/s
relHum
Relative humidity
%
Methodolody
Bias correction was done using non-parametric empirical quantile mapping with modified method from R package qmap. Parameters selected were: corrections for each day of the year using a moving windows for a 31 days; 100 quantiles; wet days corrections for precipitation. The reference period is 1981-2010.
The interpolation of gridded bias-corrected climate model simulations to the location was made using universal kriging with R packages automap and gstat with (external) variables x, y, x2, y2, x*y, z, where x is latitude, y is longitude, and z is elevation. For Digital Elevation Model Shuttle Radar Topography Mission was used. If there was an error using above mentioned variables, the number of variables was reduced to x, y, x*y, z and if there was still an error to x, y, z.
Funding
This project has received funding from the European Union’s Horizon 2020 research and innovation programme under grant agreement No 862756.
创建时间:
2022-02-24



