Temperature and Precipitation Data
The endpoints here provide access to 2km downscaled temperature and precipitation data for future (AR5/CMIP5) and historical (CRU TS 4.0) scenarios. There are endpoints for either of these variables individually or in combination. These data are for use in the Northern Climate Reports webapp, and have thus been clipped to the working domain of the Integrated Ecosystem Model (IEM) project.
Service endpoints
There are endpoints for point queries and aggregations (mean summaries) by HUC-8 units.
- Point Query: 2km temperature and precip data at a single point
- Aggregate by AOI polygon ID: 2km temperature and precip data within an area of interest polygon, aggregating by mean
Results from the queries above will look like this:
{
"1950_2009": {
"DJF":{
"CRU-TS40": {
"CRU_historical": {
"tas":{
"hi_std": -16.7,
"lo_std": -23.8,
"max": -12.9,
"mean": -20.3
"median": -20.4,
"min": -31.2,
"q1": -22,
"q3": -17.7
}
}
}
}
}
...
}
The above output is structured as such:
{
<period>: {
<season>:{
<model>: {
<scenario>: {
<varname>: {
<statistic>: <statistic value>
}
}
}
}
}
...
}
Note: only the CRU TS 4.0 data has statistics other than "mean", so AR5 data will end at <varname>: <mean value >
Dimensions:
period: Sumary period:- 1950_2009
- 2040_2069
- 2070_2099
- 2010_2019
- 2020_2029
- 2030_2039
- 2040_2049
- 2050_2059
- 2060_2069
- 2070_2079
- 2080_2089
- 2090_2099
season: Summary season:- DJF
- MMA
- JJA
- SON
model: AR5 model source, or CRU TS:- CCSM4
- MRI-CGCM3
- CRU-TS40
scenario: RCP scenario for AR5, or "CRU_historical" for CRU TS- rcp45
- rcp60
- rcp85
- CRU_historical
statistic: Statistic value for CRU TS- hi_std: mean + standard deviation
- lo_std: mean - standard deviation
- max: maximum
- q3: 3rd quartile
- median
- mean
- q1: 1st quartile
- min: minimum
pr: (float), Precipitation value.tas: (float), Temperature value.