The site hydro.rap.ucar.edu/hydro-climate-eval is an interactive web map of hydro-climate data based on CarbonPlan's maps.
| Viewing Option | Descriptin | Variables |
|---|---|---|
| Ave. | Map of metrics averages over the time period | Year Range , Downscaling Method, Climate Model, Metrics |
| Dif. | Map of the difference of the climate data against an observational dataset | Dif. Obs. Data, Downscaling Method, Climate Model, Metrics |
| Climate Signal: Method & Model | View climate signal based on specific method and model | Downscaling Method, Climate Model, Metrics, RCP Scenario |
| Climate Signal: Metric Performance | View climate signal averaging over best performing datasets | Selecting Performance Metrics |
| Name | Description |
|---|---|
| 1981-2004 | Time range data yearly data averaged over |
See this detailed downscaling methods matrix document for more information on some of the datasets mapped.
| Name | URL |
|---|---|
| ICAR | Intermediate Complexity Atmospheric Research Model |
| GARD_R2 | GARD analog regression on precipitation and 500mb horizontal wind |
| GARD_R3 | GARD analog regression on 500mb water vapor and 500mb horizontal wind |
| LOCA_8th | LOcalized Constructed Analog (LOCA) |
| MACA | Multivariate Adaptive Constructed Analogs |
| NASA-NEX | NCCS NASA |
| Name | URL |
|---|---|
| ACCESS1-3 | Australian Community Climate and Earth System Simulator |
| CanESM2 | Canadian Earth System Model |
| CCSM4 | Community Climate System Model |
| MIROC5 | Model for Interdisciplinary Research on Climate |
| NorESM-M | Norwegian Earth System Model |
| Name | Description |
|---|---|
| DJF_P | Dec/Jan/Feb seasonal mean of precipitation |
| DJF_T | Dec/Jan/Feb seasonal mean of temperature |
| JJA_P | Jun/Jul/Aug seasonal mean of precipitation |
| JJA_T | Jun/Jul/Aug seasonal mean of temperature |
| MAM_P | Mar/Apr/May seasonal mean of precipitation |
| MAM_T | Mar/Apr/May seasonal mean of temperature |
| N34PR | Nino 3.4 precipitation teleconnection pattern spactial correlation |
| N34T | Nino 3.4 temperature teleconnection pattern spactial correlation |
| PR90 | Precipitation extremes in the 90th percentile |
| PR99 | Precipitation extremes in the 99th percentile |
| PTREND | Precipitation trends |
| SON_P | Sep/Oct/Nov seasonal mean of precipitation |
| SON_T | Sep/Oct/Nov seasonal mean of temperature |
| T90 | Temperature extremes in the 90th percentile |
| T99 | Temperature extremes in the 99th percentile |
| TTREND | Temperature trends |
Observational dataset used to compute the difference against.
| Name | Description |
|---|---|
| CONUS404 | Four-kilometer long-term regional hydroclimate reanalysis |
| GMET | Gridded Meteorological Ensemble Tool |
| Livneh | Livneh hydrometeorological dataset |
| Maurer | Maurer hydrometeorological dataset |
| NLDAS | North American Land Data Assimilation System |
| PRISM | PRISM Climate Group |
| Name | Description |
|---|---|
| 4.5 | Radiative forcing levels of 4.5 W/m² above pre-industrial levels by 2100 |
| 8.5 | Radiative forcing levels of 8.5 W/m² above pre-industrial levels by 2100 |
| Steps | Description |
|---|---|
| 1. Select Metrics | Select metrics to use as the criteria for choicing the best performing maps |
| 2. Select Future RCP Scenario | RCP scenario to map |
| 3. Number of Datasets | Number of climate signal datasets to average over |
| 4. Compute Climate Signal | Compute climate signal map after completing previous steps |
| Plot Metric | Plot selected metrics |
- NodeJS to host site
- Zarr datasets to map
$ npm install .
$ npm local
$ npm run
For hosting at hydro.rap.ucar.edu/hydro-climate-eval
$ npm install .
$ npm run dev
$ npm start
Go to localhost:3000 in a browser to preview website.
License is based on CarbonPlan's maps. All the original code in this repository is MIT licensed. The library contains code from mapbox-gl-js version 1.13 (3-Clause BSD licensed). Please provide attribution if reusing any of our digital content (graphics, logo, copy, etc.).