Her scientific interests lie mostly in Drainage basin, Climatology, Remote sensing, Evapotranspiration and Groundwater. Her Drainage basin study deals with Irrigation intersecting with Sea level, Radiative forcing and Amazon rainforest. Her Climatology research is multidisciplinary, incorporating perspectives in Tropical rainfall, Meteorology, Satellite precipitation and Water resources.
Di Long interconnects Anomaly, Energy balance and Precipitation in the investigation of issues within Remote sensing. Her study in Evapotranspiration is interdisciplinary in nature, drawing from both Pixel, Thematic Mapper, Surface runoff and Latent heat. The Groundwater storage research Di Long does as part of her general Groundwater study is frequently linked to other disciplines of science, such as Level data, therefore creating a link between diverse domains of science.
Her primary areas of study are Hydrology, Remote sensing, Climatology, Water level and Evapotranspiration. Within one scientific family, she focuses on topics pertaining to Climate change under Hydrology, and may sometimes address concerns connected to Physical geography. Di Long performs multidisciplinary study in the fields of Remote sensing and Scale via her papers.
Di Long has included themes like Drainage basin, Hydrology, Global Precipitation Measurement, Precipitation and Arid in her Climatology study. Her Drainage basin research incorporates themes from Irrigation and Water resources. Her Evapotranspiration research incorporates elements of Remote sensing, Thematic Mapper, Meteorology and Moderate-resolution imaging spectroradiometer.
Her primary areas of investigation include Hydrology, Satellite altimetry, Water level, Remote sensing and Physical geography. Her studies deal with areas such as Climate change and Precipitation as well as Hydrology. The various areas that Di Long examines in her Remote sensing study include Image resolution, Correlation coefficient, Snow, Snowmelt and Data assimilation.
Her Data assimilation research integrates issues from Drainage basin, Land cover, Evapotranspiration and Groundwater. Di Long works mostly in the field of Physical geography, limiting it down to topics relating to Hydrology and, in certain cases, Climatology, as a part of the same area of interest. Her Climatology research includes elements of Permeability and Groundwater storage.
Her scientific interests lie mostly in Remote sensing, Hydrology, Climate change, Sensor fusion and Image resolution. Her Remote sensing study frequently links to related topics such as Evapotranspiration. In her research on the topic of Evapotranspiration, Land cover is strongly related with Pixel.
While the research belongs to areas of Hydrology, Di Long spends her time largely on the problem of Precipitation, intersecting her research to questions surrounding Water resource management. The concepts of her Climate change study are interwoven with issues in Physical geography, Flood myth, Shore and Hydropower. Her work focuses on many connections between Drainage basin and other disciplines, such as Climatology, that overlap with her field of interest in Groundwater.
This overview was generated by a machine learning system which analysed the scientist’s body of work. If you have any feedback, you can contact us here.
Evaluation of GPM Day-1 IMERG and TMPA Version-7 legacy products over Mainland China at multiple spatiotemporal scales
Guoqiang Tang;Yingzhao Ma;Di Long;Lingzhi Zhong.
Journal of Hydrology (2016)
Uncertainty in evapotranspiration from land surface modeling, remote sensing, and GRACE satellites
Di Long;Laurent Longuevergne;Bridget R. Scanlon.
Water Resources Research (2014)
GRACE satellite monitoring of large depletion in water storage in response to the 2011 drought in Texas
Di Long;Bridget R. Scanlon;Laurent Longuevergne;Alexander Y. Sun.
Geophysical Research Letters (2013)
Ground referencing GRACE satellite estimates of groundwater storage changes in the California Central Valley, USA
Bridget R. Scanlon;Laurent Longuevergne;Di Long.
Water Resources Research (2012)
Global models underestimate large decadal declining and rising water storage trends relative to GRACE satellite data
Bridget R. Scanlon;Zizhan Zhang;Himanshu Save;Alexander Y. Sun.
Proceedings of the National Academy of Sciences of the United States of America (2018)
Quantifying the impacts of climate change and ecological restoration on streamflow changes based on a Budyko hydrological model in China's Loess Plateau
Wei Liang;Dan Bai;Feiyu Wang;Bojie Fu.
Water Resources Research (2015)
Global Evaluation of New GRACE Mascon Products for Hydrologic Applications
Bridget R. Scanlon;Zizhan Zhang;Himanshu Save;David N. Wiese.
Water Resources Research (2016)
Drought and flood monitoring for a large karst plateau in Southwest China using extended GRACE data
Di Long;Di Long;Yanjun Shen;Alexander Sun;Yang Hong;Yang Hong.
Remote Sensing of Environment (2014)
A Two-source Trapezoid Model for Evapotranspiration (TTME) from satellite imagery
Di Long;Vijay P. Singh.
Remote Sensing of Environment (2012)
Have GRACE satellites overestimated groundwater depletion in the Northwest India Aquifer
Di Long;Xi Chen;Bridget R. Scanlon;Yoshihide Wada.
Scientific Reports (2016)
If you think any of the details on this page are incorrect, let us know.
We appreciate your kind effort to assist us to improve this page, it would be helpful providing us with as much detail as possible in the text box below: