Dongdong Wang

Prof. Dongdong Wang

Department of Geographical Sciences, University of Maryland, College Park, MD 20742, USA

Research Focus & Metrics

Academic Career Length

20Years (2007-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

View All Publications
1 April 2012 in Remote Sensing of Environment
Verified
Journal Article
Closed access
DWDongdong Wang
Dongdong Wang
DMDouglas Morton
Douglas Morton
JMJeffrey Masek
Jeffrey Masek
AWAisheng Wu
Aisheng Wu
JNJyoteshwar Nagol
Jyoteshwar Nagol
RWRobert Wolfe
Robert Wolfe

19 November 2015 in Scientific Reports
Verified
Journal Article
Open access
PDF file
Xiaona ChenXiaona Chen
Xiaona Chen
SLShunlin Liang
Shunlin Liang
YCYunfeng Cao
Yunfeng Cao
Tao HeTao He
Tao He
DWDongdong Wang
Dongdong Wang
Quantifying and attributing the phenological changes in snow cover are essential for meteorological, hydrological, ecological and societal implications. However, snow cover phenology changes have not been well documented. Evidence from multiple satellite and reanalysis data from 2001 to 2014 points out that the snow end date (De) advanced by 5.11 (±2.20) days in northern high latitudes (52–75°N) and was delayed by 3.28 (±2.59) days in northern mid-latitudes (32–52°N) at the 90% confidence level. Dominated by changes in De, snow duration days (Dd) was shorter in duration by 5.57 (±2.55) days in high latitudes and longer by 9.74 (±2.58) days in mid-latitudes. Changes in De during the spring season were consistent with the spatiotemporal pattern of land surface albedo change. Decreased land surface temperature combined with increased precipitation in mid-latitudes and significantly increased land surface temperature in high latitudes, impacted by recent Pacific surface cooling, Arctic amplification and strengthening westerlies, result in contrasting changes in the Northern Hemisphere snow cover phenology. Changes in the snow cover phenology led to contrasting anomalies of snow radiative forcing, which is dominated by De and accounts for 51% of the total shortwave flux anomalies at the top of the atmosphere.

30 March 2012 in Global Change Biology
Verified
Journal Article
Closed access
PDF file
KMKelly Mcmanus
Kelly Mcmanus
DMDouglas C. Morton
Douglas C. Morton
JMJeffrey G. Masek
Jeffrey G. Masek
DWDongdong Wang
Dongdong Wang
JSJoseph O. Sexton
Joseph O. Sexton
SBStéphane Boudreau
Stéphane Boudreau

3 January 2020 in Remote Sensing
Verified
Journal Article
Open access
PDF file
DWDongdong Wang
Dongdong Wang
SLShunlin Liang
Shunlin Liang
YZYi Zhang
Yi Zhang
XGXueyuan Gao
Xueyuan Gao
MBMeredith Brown
Meredith Brown
AJAolin Jia
Aolin Jia
Surface downward shortwave radiation (DSR) and photosynthetically active radiation (PAR), its visible component, are key parameters needed for many land process models and terrestrial applications. Most existing DSR and PAR products were developed for climate studies and therefore have coarse spatial resolutions, which cannot satisfy the requirements of many applications. This paper introduces a new global high-resolution product of DSR (MCD18A1) and PAR (MCD18A2) over land surfaces using the MODIS data. The current version is Collection 6.0 at the spatial resolution of 5 km and two temporal resolutions (instantaneous and three-hour). A look-up table (LUT) based retrieval approach was chosen as the main operational algorithm so as to generate the products from the MODIS top-of-atmosphere (TOA) reflectance and other ancillary data sets. The new MCD18 products are archived and distributed via NASA’s Land Processes Distributed Active Archive Center (LP DAAC). The products have been validated based on one year of ground radiation measurements at 33 Baseline Surface Radiation Network (BSRN) and 25 AmeriFlux stations. The instantaneous DSR has a bias of −15.4 W/m2 and root mean square error (RMSE) of 101.0 W/m2, while the instantaneous PAR has a bias of −0.6 W/m2 and RMSE of 45.7 W/m2. RMSE of daily DSR is 32.3 W/m2, and that of the daily PAR is 13.1 W/m2. The accuracy of the new MODIS daily DSR data is higher than the GLASS product and lower than the CERES product, while the latter incorporates additional geostationary data with better capturing DSR diurnal variability. MCD18 products are currently under reprocessing and the new version (Collection 6.1) will provide improved spatial resolution (1 km) and accuracy.

1 September 2020 in ISPRS Journal of Photogrammetry and Remote Sensing
Verified
Journal Article
Closed access
XZXiaodong Zhang
Xiaodong Zhang
JZJi Zhou
Ji Zhou
SLShunlin Liang
Shunlin Liang
LCLinna Chai
Linna Chai
DWDongdong Wang
Dongdong Wang
JLJin Liu
Jin Liu

1 February 2019 in IEEE Transactions on Geoscience and Remote Sensing
Verified
Journal Article
Closed access
Xiaotong  ZhangXiaotong Zhang
Xiaotong Zhang
XZXiang Zhao
Xiang Zhao
WLWenhong Li
Wenhong Li
SLShunlin Liang
Shunlin Liang
DWDongdong Wang
Dongdong Wang
HMHan Ma
Han Ma