World's Best Scientists 2026 revealed!

D-Index & Metrics

Environmental Sciences

D-Index
38
Citations
10665
World Ranking
8497
National Ranking
3030

Overview

David Mocko is affiliated with the National Aeronautics and Space Administration in the United States. Their research spans multiple areas within environmental and earth sciences, with a strong focus on hydrology, climate variability, and remote sensing methodologies.

The main fields of study within their body of work are Environmental Science and Earth and Planetary Sciences. More specifically, their research covers subfields such as Global and Planetary Change, Atmospheric Science, Water Science and Technology, Environmental Engineering, and Ecology.

The key topics addressed in their work include Climate Variability and Models, Hydrology and Watershed Management Studies, Hydrology and Drought Analysis, Plant Water Relations and Carbon Dynamics, Cryospheric Studies and Observations, Soil Moisture and Remote Sensing, and Precipitation Measurement and Analysis.

Frequent co-authors collaborating with David Mocko include Sujay V. Kumar, C. D. Peters-Lidard, Kristi R. Arsenault, Shugong Wang, and Jerry Wegiel.

Common publication venues for their research are the Journal of Hydrometeorology, Bulletin of the American Meteorological Society, Remote Sensing, Hydrology and Earth System Sciences, and Zenodo (CERN European Organization for Nuclear Research).

Significant recent papers associated with David Mocko are:

  • Assimilation of Vegetation Conditions Improves the Representation of Drought over Agricultural Areas, 2021, Journal of Hydrometeorology
  • Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling, 2021, The Cryosphere
  • Drought Variability over the Conterminous United States for the Past Century, 2021, Journal of Hydrometeorology
  • The NASA Hydrological Forecast System for Food and Water Security Applications, 2020, Bulletin of the American Meteorological Society
  • Impact of Surface Albedo Assimilation on Snow Estimation, 2020, Remote Sensing

Best Publications

  • Regions of Strong Coupling Between Soil Moisture and Precipitation

    Randal D. Koster;Paul A. Dirmeyer;Zhichang Guo;Gordon Bonan

  • Continental-scale water and energy flux analysis and validation for the North American Land Data Assimilation System project phase 2 (NLDAS-2): 1. Intercomparison and application of model products

    Youlong Xia;Kenneth Mitchell;Michael Ek;Justin Sheffield

  • GLACE: The Global Land-Atmosphere Coupling Experiment. Part I: Overview

    Randal D. Koster;Zhichang Guo;Paul A. Dirmeyer;Gordon Bonan

  • Global GRACE data assimilation for groundwater and drought monitoring: Advances and challenges

    Bailing Li;Bailing Li;Matthew Rodell;Sujay Kumar;Hiroko Kato Beaudoing;Hiroko Kato Beaudoing

  • Soil Moisture Memory in AGCM Simulations: Analysis of Global Land–Atmosphere Coupling Experiment (GLACE) Data

    Sonia I. Seneviratne;Sonia I. Seneviratne;Randal D. Koster;Zhichang Guo;Paul A. Dirmeyer

  • Glace: The Global Land-Atmosphere Coupling Experiment Part 2: Analysis

    Zhichang Guo;Paul A. Dirmeyer;Randal D. Koster;Gordon Bonan

  • Simulation of high-latitude hydrological processes in the Torne-Kalix basin: PILPS phase 2(e) - 1: Experiment description and summary intercomparisons

    Laura C. Bowling;Dennis P. Lettenmaier;Bart Nijssen;Bart Nijssen;L. Phil Graham

  • Assimilation of Remotely Sensed Soil Moisture and Snow Depth Retrievals for Drought Estimation

    Sujay V. Kumar;Christa D. Peters-Lidard;David Mocko;Rolf Reichle

  • Atmospheric Water Balance and Variability in the MERRA-2 Reanalysis

    Michael G. Bosilovich;Franklin R. Robertson;Lawrence Takacs;Andrea Molod

  • Assimilation of Gridded GRACE Terrestrial Water Storage Estimates in the North American Land Data Assimilation System

    Sujay V. Kumar;Benjamin F. Zaitchik;Christa D. Peters-Lidard;Matthew Rodell

  • Simulation of high latitude hydrological processes in the Torne-Kalix basin : PILPS phase 2(e) - 2: Comparison of model results with observations

    Bart Nijssen;Bart Nijssen;Laura C. Bowling;Dennis P. Lettenmaier;Douglas B. Clark

  • Using remotely-sensed estimates of soil moisture to infer soil texture and hydraulic properties across a semi-arid watershed

    Joseph A. Santanello;Joseph A. Santanello;Christa D. Peters-Lidard;Matthew E. Garcia;Matthew E. Garcia;David M. Mocko;David M. Mocko

  • Where Does the Irrigation Water Go? An Estimate of the Contribution of Irrigation to Precipitation Using MERRA

    Jiangfeng Wei;Paul A. Dirmeyer;Dominik Wisser;Michael G. Bosilovich

  • Estimating evapotranspiration with land data assimilation systems

    Christa D. Peters-Lidard;Sujay V. Kumar;Sujay V. Kumar;David M. Mocko;David M. Mocko;Yudong Tian

  • Assimilation of Remotely Sensed Leaf Area Index into the Noah-MP Land Surface Model: Impacts on Water and Carbon Fluxes and States over the Continental United States

    Sujay V. Kumar;David M. Mocko;Shugong Wang;Christa D. Peters-Lidard

  • NCA-LDAS Land Analysis: Development and Performance of a Multisensor, Multivariate Land Data Assimilation System for the National Climate Assessment

    Sujay V. Kumar;Michael Jasinski;David M. Mocko;Matthew Rodell

  • Benchmarking NLDAS-2 Soil Moisture and Evapotranspiration to Separate Uncertainty Contributions

    Grey S. Nearing;David M. Mocko;Christa D. Peters-Lidard;Sujay V. Kumar

  • Application of USDM statistics in NLDAS‐2: Optimal blended NLDAS drought index over the continental United States

    Youlong Xia;Michael B. Ek;Christa D. Peters-Lidard;David Mocko;David Mocko

  • Comparison and Assessment of Three Advanced Land Surface Models in Simulating Terrestrial Water Storage Components over the United States

    Youlong Xia;David Mocko;Maoyi Huang;Bailing Li

  • Snow Ensemble Uncertainty Project (SEUP): quantification of snow water equivalent uncertainty across North America via ensemble land surface modeling

    Rhae Sung Kim;Rhae Sung Kim;Sujay Kumar;Carrie Vuyovich;Paul R Houser

  • Evaluating the uncertainty of terrestrial water budget components over High Mountain Asia.

    Yeosang Yoon;Yeosang Yoon;Sujay V. Kumar;Barton A. Forman;Benjamin F. Zaitchik

Frequent Co-Authors

Sujay V. Kumar
Sujay V. Kumar Goddard Space Flight Center
Christa D. Peters-Lidard
Christa D. Peters-Lidard Goddard Space Flight Center
Matthew Rodell
Matthew Rodell Goddard Space Flight Center
Youlong Xia
Youlong Xia M-Systems
Dennis P. Lettenmaier
Dennis P. Lettenmaier University of California, Los Angeles
Michael Ek
Michael Ek National Center for Atmospheric Research
Kenneth E. Mitchell
Kenneth E. Mitchell National Oceanic and Atmospheric Administration
Eric F. Wood
Eric F. Wood Princeton University
Justin Sheffield
Justin Sheffield University of Southampton
Michael G. Bosilovich
Michael G. Bosilovich Goddard Space Flight Center

If you think any of the details on this page are incorrect, let us know.

Report an issue

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:

Related Online Degrees & Career Pathways

For those interested in Environmental Sciences, exploring related online degrees can open up diverse career opportunities. Students often look for options that combine affordability and flexibility. Programs like the cheap online general studies degree offer a budget-friendly way to earn a foundational education that supports further specialization.

Additionally, students new to higher education might consider degrees recognized as the easiest bachelors degree to balance academic demands with personal and professional responsibilities. These programs often emphasize practical skills that align well with environmental career pathways.

For those looking to dive deeper into earth sciences specifically, pursuing the best online geology degree provides comprehensive knowledge that is critical for environmental assessment, resource management, and conservation efforts.

Moreover, careers involving spatial data and environmental mapping benefit greatly from degrees in Geographic Information Systems (GIS). Accessing the best GIS undergraduate programs online can equip students with the specialized tools necessary for modern environmental analysis and decision-making.

Best Scientists Citing David Mocko

Trending Scientists

Recently Published Articles