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Data headers for 'HighResClimNevada_warm_v2_bioc'
Record


Generation date
2025-08-11
Method
ncdump -h
Header
netcdf warm_v2_bioc_1_12368799281138940549 {
dimensions:
time = UNLIMITED ; // (30 currently)
west_east = 130 ;
south_north = 112 ;
variables:
float time(time) ;
time:standard_name = "time" ;
time:long_name = "time" ;
time:units = "seconds since 1991-1-1 00:00:00" ;
time:calendar = "standard" ;
time:axis = "T" ;
float lon(south_north, west_east) ;
lon:standard_name = "longitude" ;
lon:long_name = "longitude" ;
lon:units = "degree_east" ;
float lat(south_north, west_east) ;
lat:standard_name = "latitude" ;
lat:long_name = "latitude" ;
lat:units = "degree_north" ;
double BIO13(time, south_north, west_east) ;
BIO13:standard_name = "precipitation_amount" ;
BIO13:long_name = "precipitation_of_wettest_month" ;
BIO13:units = "kg m-2" ;
BIO13:coordinates = "lat lon" ;
BIO13:_FillValue = -999. ;
BIO13:missing_value = -999. ;
BIO13:cell_methods = "time: sum" ;
BIO13:description = "the highest monthly sum of precipitation for each year" ;
float altitude(south_north, west_east) ;
altitude:standard_name = "surface_altitude" ;
altitude:long_name = "surface_altitude" ;
altitude:units = "m" ;
altitude:coordinates = "lat lon" ;
altitude:_FillValue = -9.e+33f ;
altitude:missing_value = -9.e+33f ;
altitude:description = "surface elevation height above sea level" ;
altitude:positive = "up" ;

// global attributes:
:Conventions = "CF-1.6" ;
:institution = "University of Granada, Granada, Spain (
 mgvaldecasas@nullugr.es
)." ;
:title = "High-resolution Climate Data for a High-altitude Region in Southern Spain: Sierra Nevada (HighResClimNevada). Bioclimatic variables." ;
:creator = "M. García-Valdecasas Ojeda, F. Solano-Farias, D. Donaire-Montaño, Y. Castro-Díez, S.R. Gámiz-Fortis, and M.J. Esteban-Parra." ;
:contact = "M. García-Valdecasas Ojeda (ORCID ID 0000-0001-9551-8328) and M.J. Esteban-Parra (ORCID ID 0000-0003-1350-6150)." ;
:source = "Weather Research and Forecasting (WRF) model v4.3.3." ;
:description = "Pseudoprojections of climate change result of applyng the pseudo-global warmong approach (PGW, Sato et al., 2007) to a high-resolution climate dataset (1 km spatial resolution) for the Sierra Nevada, the highest mountainous range in the Iberian Peninsula, located in southeastern Andalusia (Spain). Simulations were performed using the Weather Research & Forecasting (WRF) model v4.3.3 (Skamarock et al., 2021) forced with ERA5 reanalysis data (Hersbach et al., 2018) and a monthly mean climate change signal derived from a CMIP6 multi-model ensemble. \nThe physical configuration employed include the Asymmetric Convective Model version 2 (ACM2, Pleim, 2007) for the planetary boundary layer processes, the Community Atmosphere Model 3.0 (CAM3.0, Collins et al., 2004) for both longwave and shortwave radiation, the WRF Single-Moment 7-class (WSM7, Bae et al., 2019) for mycrohysics, and the NOAH-MP land surface model (Niu et al., 2011). The convection scheme was deactivated.\nThe multi-model ensemble comprises 24 CMIP6 models: the BCC-CSM2-MR_r1i1p1f1, CAS-ESM2-0_r1i1p1f1, CMCC-CM2-SR5_r1i1p1f1, CMCC-ESM2_r1i1p1f1, CNRM-CM6-1_r1i1p1f2, CNRM-CM6-1-HR_r1i1p1f2, CNRM-ESM2-1_r1i1p1f2, FGOALS-f3-L_r1i1p1f1, GFDL-ESM4_r1i1p1f1, GISS-E2-1-G_r1i1p1f2, HadGEM3-GC31-LL_r1i1p1f3, HadGEM3-GC31-MM_r1i1p1f3, IITM-ESM_r1i1p1f1, INM-CM4-8_r1i1p1f1, INM-CM5-0_r1i1p1f1,IPSL-CM6A-LR_r1i1p1f1, KIOST-ESM_r1i1p1f1, MCM-UA-1-0_r1i1p1f2, MIROC6_r1i1p1f1, MIROC-ES2L_r1i1p1f2, MPI-ESM1-2-HR_r1i1p1f1, MPI-ESM1-2-LR_r1i1p1f1, MRI-ESM2-0_r1i1p1f1, and UKESM1-0-LL_r1i1p1f2." ;
:keywords = "Sierra Nevada, Weather Reserach and forecasting model, climate variables, convection-permitting." ;
:acknowledgement = "This work was funded by grant no. BIOD22_002, supported by the Regional Ministry of University, Research and Innovation (Junta de Andalucía), the Government of Spain, and the European Union – NextGenerationEU. Additional support was provided by the Mountain BIOREFUGES and PRECLIMDEX projects, as well as by the Spanish Ministry of Science and Innovation through the projects MICIU/AEI/10.13039/501100011033 and FEDER, EU (grant nos. TED2021-130888B-I00 and PID2021-126401OB-I00). The creators thank Dr. D. Argüeso and J.J. Rosa-Cánovas for their assistance in implementing the mean climate change signal in these data." ;
:license = "This dataset is licensed under the Creative Commons Attribution 4.0 International (CC BY 4.0): https://creativecommons.org/licenses/by/4.0/" ;
:creation_date = "2025/Jul/16" ;
:projection = "Lambert Conformal" ;
:geospatial_lat_min = 36.49725f ;
:geospatial_lat_max = 37.50602f ;
:geospatial_lon_min = -3.849945f ;
:geospatial_lon_max = -2.385773f ;
:geospatial_vertical_max = 3180.349f ;
}