netcdf ClimAVA-SW_C61_hist_1_12464282914458536571 {
dimensions:
lon = 538 ;
lat = 295 ;
time = 12410 ;
variables:
double lon(lon) ;
lon:units = "degrees_east" ;
lon:long_name = "Longitude" ;
double lat(lat) ;
lat:units = "degrees_north" ;
lat:long_name = "Latitude" ;
int time(time) ;
time:units = "days" ;
time:long_name = "days since 19810101" ;
double pr(time, lat, lon) ;
pr:units = "mm" ;
pr:_FillValue = -9999. ;
pr:long_name = "Precipitation" ;
pr:standard_name = "precipitation_flux" ;
// global attributes:
:Title = "Climate data for Adaptation and Vulnerability Assessments - Southwest (ClimAVA-SW)" ;
:Version = "01" ;
:Creation\ date = "2024-07-05 15:06:09.730731" ;
:Source = "Utah State University, Watershed Sciences Department" ;
:Adress = "5210 Old Main Hill, NR 210, Logan, UT 84322" ;
:Author = "Andre Geraldo de Lima Moraes" ;
:email = "" ;
:Description = "The ClimAVA-SW dataset provides a high-resolution (4km) bias-corrected, downscaled future climate projection based on seventeen CMIP6 GCMs. The dataset includes three variables (pr, tasmin, tasmax) and three Shared Socio-economic Pathways (SSP245, SSP370, SSP585) for the entire U.S.Southwest region. ClimAVA-SW employs the Spatial Pattern Interaction Downscaling (SPID) method which applies Random Forest model to translate the relationships and interactions between spatial patterns at a coarse resolution and fine-resolution pixel values. A random forest model is trained for each pixel, with the finer pixel of the reference data as the predictor and nine pixels from the spatially resampled (coarser) version of the reference data (at the GCMs spatial resolution) as predictors. Models are then used to downscale the GCM data. See the pepper describing the method and data set for more information." ;
:Lineage = "ClimaAVA uses the Parameter-elevation Relationships on Independent The Slopes Model (PRISM 4K) project (https://prism.oregonstate.edu/) as reference data for both bias correction and the training of downscaling models. This file contain data downscaled from modelCNRM-CM6-1 SSP historical variant label r1i1p1f2, version 20210114" ;
:License = "CC-BY-SA 4.0" ;
:Fees = "This data set is free" ;
:Disclaimer = "While every effort has been made to ensure the accuracy and completeness of the data, no guarantee is given that the information provided is error-free or that the dataset will be suitable for any particular purpose. Users are advised to use this dataset with caution and to independently verify the data before making any decisions based on it. The creators of this dataset make no warranties, express or implied, regarding the dataset\'s accuracy, reliability, or fitness for a particular purpose. In no event shall the creators be liable for any damages, including but not limited to direct, indirect, incidental, special, or consequential damages, arising out of the use or inability to use the dataset. Users of this dataset are encouraged to properly cite the dataset in any publications or works that make use of the data. By using this dataset, you agree to these terms and conditions. If you do not agree with these terms, please do not use the dataset." ;
}