Feature Request P1
Status Update
No update yet.
Comments
kr...@gmail.com
This is not the same issue. 116170625 is a missing R class. This is just a warning that is shown in both cases.
la...@ucsb.edu
Note this seems to be related to Fabric. Removing `apply plugin: 'io.fabric'` (using v1.25.4) makes the warning go away.
si...@google.com
Will Fabric work without the plugin? We're using Crashalytics and perf-mon in our app.
Description
Brief Dataset description:
The CHC-CMIP6 dataset provides global, daily, high spatial resolution (0.05°) grids of observational and projected CHIRTS temperature, CHIRPS precipitation, ERA5-derived relative humidity, vapor pressure deficit (VPD), and maximum Wet Bulb Globe Temperatures (WBGTmax). 2030 and 2050 daily projections are based on perturbing observational fields using large CMIP6 ensembles. Finally, monthly counts of frequency of extremes for each variable were derived for the observational time period and the four sets of projections.
Platform/Sensor:
Era5, CHIRPS, CHIRTS
URL(s) of dataset description webpages:
URL to download data:
Approximate size of the dataset: TDB.. stay tuned
Dataset license:
The dataset is under a Creative Commons Attribution 4.0 International (CC BY 4.0) license.
Intended use:
There is a growing need for high spatio-temporal resolution data on both current and projected hydrometeorological and temperature variables and extremes. This dataset has been explicitly developed to support the analysis of climate-related hazards over the recent past and in the near-future.
Additional information:
Williams, E., Funk, C., Peterson, P., & Tuholske, C. (2024). High resolution climate change observations and projections for the evaluation of heat-related extremes. Scientific Data, 11(1), 261.