F
Feifei Pan
Researcher at University of North Texas
Publications - 66
Citations - 1766
Feifei Pan is an academic researcher from University of North Texas. The author has contributed to research in topics: Water content & Environmental science. The author has an hindex of 22, co-authored 58 publications receiving 1415 citations. Previous affiliations of Feifei Pan include Yale University & Chinese Academy of Sciences.
Papers
More filters
Journal ArticleDOI
Recent changes in nitrate and dissolved organic carbon export from the upper Kuparuk River, North Slope, Alaska
TL;DR: In this paper, the USGS Load Estimator (LOADEST) was used to calculate June-August export from 1978 forward, coupled with a catchment-based land surface model to estimate total annual export from 1991 to 2001.
Journal ArticleDOI
Gap Winds and Wakes: SAR Observations and Numerical Simulations
Feifei Pan,Ronald B. Smith +1 more
TL;DR: In this article, the authors examined the nature of terrain-induced gap winds and wakes in the atmosphere using surface wind data from synthetic aperture radar (SAR) and the shallow water equations.
Journal ArticleDOI
River export of nutrients and organic matter from the North Slope of Alaska to the Beaufort Sea
James W. McClelland,Amy Townsend-Small,Robert M. Holmes,Feifei Pan,Marc Stieglitz,M. S. Khosh,Bruce J. Peterson +6 more
TL;DR: The potential importance of river inputs for biological production in coastal waters of the Alaskan Beaufort Sea is discussed in this paper. But, the potential role of river-supplied nitrogen in support of primary production depends strongly on remineralization mechanisms.
Journal ArticleDOI
Estimation of wetland vegetation height and leaf area index using airborne laser scanning data
TL;DR: In this paper, the authors explored the potential of estimating vegetation structural parameters such as vegetation height and leaf area index (LAI) for short wetland vegetation using airborne discrete-return LiDAR data.
Journal ArticleDOI
An analytical method for predicting surface soil moisture from rainfall observations
TL;DR: In this article, a simple analytical method for estimating surface soil moisture directly from rainfall data is proposed and studied, where a diagnostic equation is derived from the soil moisture dynamics equation by eliminating the diffusion term and derived daily soil moisture function is a time-weighted average of previous cumulative rainfall over a given period.