scispace - formally typeset
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

Downscaling 1-km Topographic Index Distributions to a Finer Resolution for the TOPMODEL-Based GCM Hydrological Modeling

TL;DR: In this article, a series of empirical relationships among mean, standard deviation, and coefficient of skewness of TIDs of nine catchments in eastern Tennessee at resolutions of 2, 10, and 100 m and 205 watersheds across the contiguous United States at resolutions between 10 m and 1 km were developed for downscaling TIDs from 1 km to 2 m through approximating TIDs by a 3-parameter gamma distribution function.
Journal ArticleDOI

The doe water cycle pilot study

TL;DR: In this paper, two simulations, control and land use change, were performed for an eight week period (2 April-16 May 1990) to determine the net sensitivity of the local climate around the Three Gorges Dam.
Journal ArticleDOI

Warming and Dimming: Interactive Impacts on Potential Summer Maize Yield in North China Plain

TL;DR: Based on daily observation data during 1961-2015 in the North China Plain (NCP), the impacts of climate change associated with climate warming and global dimming/brightening on potential lighttemperature productivity (PTP) of summer maize were assessed in this article.
Journal ArticleDOI

Forest above Ground Biomass Inversion by Fusing GLAS with Optical Remote Sensing Data

TL;DR: The accuracy of the estimated biomass in complex terrains can be improved significantly by integrating GLAS and optical remote sensing data.
Journal ArticleDOI

Estimation of FPAR and FPAR profile for maize canopies using airborne LiDAR.

TL;DR: Li et al. as discussed by the authors explored the potential of airborne small-footprint fullwaveform LiDAR in the estimation of FPAR and FPAR profile of the maize canopy in Huailai County of Hebei Province, China.