Kyungtae Lee
Biographic Data
| ID | 7998626 |
|---|---|
| NAME | Kyungtae Lee |
| GIVEN NAMES | Kyungtae |
| FAMILY NAME | Lee |
| SIGNATURE | LEE K |
| AFFILIATIONS | University of Maryland, College Park |
| ORCID | 0000-0003-4670-7522 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| AUTHOR COUNT | 2 |
| EDITOR COUNT | 0 |
| FIRST PUBLICATION YEAR | 2021 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Geographical factors influencing household cookstove choices in Nepal
Using data from the Multi-Tier Framework Survey (MTF) conducted in Nepal, we explore how geographical factors, specifically land slope and elevation, impact the adoption of LPG stoves. We employ a logit model to analyze the factors influencing households’ choices regarding LPG stove adoption and generate slope and elevation data. Overall, we find that the estimates of the average slope are robust and statistically significant, but those for the a…
Improving cold-region streamflow estimation by winter precipitation adjustment using passive microwave snow remote sensing datasets
Winter precipitation estimations and spatially sparse snow observations are key challenges when predicting snowmelt-driven floods. An improvement in streamflow prediction is achieved in a snowmelt-dominant basin, i.e. the Red River Basin (RRB), by adjusting the amounts of snowfall through satellite-borne passive microwave observations of snow water equivalent (SWE). A snowfall forcing dataset is scaled to minimize the difference between simulated…
No prominent works on this page.
Improving cold-region streamflow estimation by winter precipitation adjustment using passive microwave snow remote sensing datasets
Winter precipitation estimations and spatially sparse snow observations are key challenges when predicting snowmelt-driven floods. An improvement in streamflow prediction is achieved in a snowmelt-dominant basin, i.e. the Red River Basin (RRB), by adjusting the amounts of snowfall through satellite-borne passive microwave observations of snow water equivalent (SWE). A snowfall forcing dataset is scaled to minimize the difference between simulated…
Geographical factors influencing household cookstove choices in Nepal
Using data from the Multi-Tier Framework Survey (MTF) conducted in Nepal, we explore how geographical factors, specifically land slope and elevation, impact the adoption of LPG stoves. We employ a logit model to analyze the factors influencing households’ choices regarding LPG stove adoption and generate slope and elevation data. Overall, we find that the estimates of the average slope are robust and statistically significant, but those for the a…
Geography (2 works) · Atmospheric sciences (1 works) · Climate change and permafrost (1 works) · Climatology (1 works) · Cryospheric studies and observations (1 works) · Drainage basin (1 works) · Electric Vehicles and Infrastructure (1 works) · Energy and Environment Impacts (1 works) · Energy, Environment, and Transportation Policies (1 works) · Environmental planning (1 works)