David G DeWitt
Biographic Data
| ID | 7993989 |
|---|---|
| NAME | David G DeWitt |
| GIVEN NAMES | David G |
| FAMILY NAME | DeWitt |
| SIGNATURE | DEWITT D G |
| AFFILIATIONS | NOAA Climate Prediction Center |
| VERIFIED | No |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2020 |
| LATEST PUBLICATION YEAR | 2021 |
| H-INDEX | 0 |
Potential caveats in land surface model evaluations using the US drought monitor: Roles of base periods and drought indicators
The US drought monitor (USDM) has been widely used as an observational reference for evaluating land surface model (LSM) simulation of drought. This study investigates potential caveats in such evaluation when the USDM and LSMs use different base periods and drought indices to identify drought. The retrospective national water model (NWM) v2.0 simulation (1993–2018) was used to exemplify the evaluation, supplemented by North American land data as…
Using Visualization Science to Improve Expert and Public Understanding of Probabilistic Temperature and Precipitation Outlooks
Visually communicating temperature and precipitation climate outlook graphics is challenging because it requires the viewer to be familiar with probabilities as well as to have the visual literacy to interpret geospatial forecast uncertainty. In addition, the visualization scientific literature has open questions on which visual design choices are the most effective at expressing the multidimensionality of uncertain forecasts, leaving designers w…
No prominent works on this page.
Using Visualization Science to Improve Expert and Public Understanding of Probabilistic Temperature and Precipitation Outlooks
Visually communicating temperature and precipitation climate outlook graphics is challenging because it requires the viewer to be familiar with probabilities as well as to have the visual literacy to interpret geospatial forecast uncertainty. In addition, the visualization scientific literature has open questions on which visual design choices are the most effective at expressing the multidimensionality of uncertain forecasts, leaving designers w…
Potential caveats in land surface model evaluations using the US drought monitor: Roles of base periods and drought indicators
The US drought monitor (USDM) has been widely used as an observational reference for evaluating land surface model (LSM) simulation of drought. This study investigates potential caveats in such evaluation when the USDM and LSMs use different base periods and drought indices to identify drought. The retrospective national water model (NWM) v2.0 simulation (1993–2018) was used to exemplify the evaluation, supplemented by North American land data as…
Geography (2 works) · Artificial Intelligence (1 works) · Climate Change Communication and Perception (1 works) · Climate variability and models (1 works) · Climatology (1 works) · Computer Science (1 works) · Data assimilation (1 works) · Data science (1 works) · Data Visualization and Analytics (1 works) · Environmental Science (1 works)