D. Mocko

发表

Regions of Strong Coupling Between Soil Moisture and Precipitation

D. Lawrence, K. Oleson, R. Koster, 2004, Science.

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

K. Mo, D. Mocko, M. Ek, 2012 .

Role of forcing uncertainty and model error background characterization in snow data assimilation

David Mocko, Christa D. Peters-Lidard, Jiarui Dong, 2016 .

A Multimodel Analysis for the Coordinated Enhanced Observing Period (CEOP)

Michael G. Bosilovich, David Mocko, Alex C. Ruane, 2009 .

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

D. Lawrence, K. Oleson, R. Koster, 2006 .

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

Sujay V. Kumar, D. Mocko, C. Peters-Lidard, 2016, Journal of hydrometeorology.

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

Martha C. Anderson, Sujay V. Kumar, D. Mocko, 2016 .

Global GRACE Data Assimilation for Groundwater and Drought Monitoring: Advances and Challenges

Sujay V. Kumar, D. Mocko, S. Bettadpur, 2019, Water Resources Research.

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

Michael H. Cosh, David Mocko, Ben Livneh, 2014 .

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

Randal D. Koster, David Mocko, Zhichang Guo, 2004 .

Evaluation of a coupled event‐driven phenology and evapotranspiration model for croplands in the United States northern Great Plains

D. Mocko, G. Senay, G. Henebry, 2013 .

Role of precipitation uncertainty in the estimation of hydrologic soil properties using remotely sensed soil moisture in a semiarid environment

M. S. Moran, David Mocko, Christa D. Peters-Lidard, 2008 .

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

M. S. Moran, David Mocko, Christa D. Peters-Lidard, 2007 .

Impact of Land Surface Initialization Approach on Subseasonal Forecast Skill: A Regional Analysis in the Southern Hemisphere

Jason P. Evans, David Mocko, Andrew J. Pitman, 2014 .

Impact of snow conditions in spring dynamical seasonal predictions

D. Mocko, C. Schlosser, 2003 .

New Snow-Physics to Complement SSiB: Part I: Design and Evaluation with ISLSCP Initiative I Datasets

David Mocko, Yogesh C. Sud, D. Mocko, 1999 .

Comprehensive Evaluation of the Variable Infiltration Capacity (VIC) Model in the North American Land Data Assimilation System

Sujay V. Kumar, D. Mocko, M. Ek, 2018, Journal of Hydrometeorology.

Role of forcing uncertainty and background model error characterization in snow data assimilation

Sujay V. Kumar, D. Mocko, Jiarui Dong, 2017 .

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

Edward J. Kim, Sujay V. Kumar, D. Mocko, 2020, The Cryosphere.

Evaluation of the Event Driven Phenology Model Coupled with the VegET Evapotranspiration Model Through Comparisons with Reference Datasets in a Spatially Explicit Manner

D. Roy, D. Mocko, G. Senay, 2011 .

A NASA–Air Force Precipitation Analysis for Near-Real-Time Operations

Jossy P. Jacob, Sujay V. Kumar, D. Mocko, 2022, Journal of Hydrometeorology.

Simulating the Midwestern U.S. Drought of 1988 with a GCM

K. Lau, D. Mocko, Y. Sud, 2003 .

On the Use of NASA Earth Observations to Characterize the 2012 US Drought

D. Mocko, M. Ek, J. Entin, 2013 .

Understanding the impact of vegetation dynamics on the water cycle in the Noah-MP model

D. Mocko, K. Arsenault, J. Roundy, 2022, Frontiers in Water.

The influence of assimilating leaf area index in a land surface model on global water fluxes and storages

D. Mocko, P. Houser, V. Maggioni, 2019, Hydrology and Earth System Sciences.

Hydrology Research with the North American Land Data Assimilation System (Nldas) Datasets at the NASA Ges Disc Using Giovanni

D. Mocko, J. Acker, H. Rui, 2013 .

Towards effective drought monitoring in the Middle East and North Africa (MENA) region: implications from assimilating leaf area index and soil moisture into the Noah-MP land surface model for Morocco

Sujay V. Kumar, D. Mocko, K. Arsenault, 2022, Hydrology and Earth System Sciences.

' GLACE : The Global Land-Atmosphere Coupling Experiment . 1 . Overview

Taikan Oki, Randal D. Koster, David Mocko, 2005 .

Importance of Winds and Soil Moistures to the US Summertime Drought of 1988: A GCM Simulation Study

D. Mocko, Y. Sud, W. Lau, 2001 .

The Joint Assimilation of Remotely Sensed Leaf Area Index and Surface Soil Moisture into a Land Surface Model

D. Mocko, P. Houser, V. Maggioni, 2022, Remote. Sens..

A synthetic experiment to investigate the potential of assimilating LAI through direct insertion in a land surface model

Sujay V. Kumar, D. Mocko, P. Houser, 2020, Journal of Hydrology X.

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, D. Mocko, J. Borak, 2019, Journal of Hydrometeorology.

Evaluating the Uncertainty of Terrestrial Water Budget Components Over High Mountain Asia

Abhijit Mukherjee, Anthony Arendt, Benjamin F. Zaitchik, 2019, Front. Earth Sci..

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

Bailing Li, Hiroko Kato Beaudoing, Matthew Rodell, 2017, Journal of Hydrometeorology.

Blending satellite‐based snow depth products with in situ observations for streamflow predictions in the Upper Colorado River Basin

David Mocko, Christa D. Peters-Lidard, Kristi R. Arsenault, 2015 .

Diagnosing an Artificial Trend in NLDAS-2 Afternoon Precipitation

D. Mocko, C. Ferguson, 2017 .

Estimating evapotranspiration with land data assimilation systems

Yudong Tian, David Mocko, Christa D. Peters-Lidard, 2011 .

Impact of Surface Albedo Assimilation on Snow Estimation

Sujay V. Kumar, Carrie Vuyovich, Christa D. Peters-Lidard, 2020, Remote. Sens..

Influence of Leaf Area Index Prescriptions on Simulations of Heat, Moisture, and Carbon Fluxes

Jason P. Evans, David Mocko, Andrew J. Pitman, 2014 .

Advances in Land Surface Models and Indicators for Drought Monitoring and Prediction

D. Mocko, D. Lettenmaier, P. Gentine, 2021, Bulletin of the American Meteorological Society.

New Snow-Physics to Complement SSiB, Part II: Effects on Soil Moisture Initialization and Simulated

D. Mocko, Y. Sud, G. Walker, 1999 .

Multiscale Evaluation of the Improvements in Surface Snow Simulation through Terrain Adjustments to Radiation

David Mocko, Christa D. Peters-Lidard, Yudong Tian, 2013 .

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

D. Mocko, D. Verseghy, Y. Xue, 2003 .

Drought Variability over the Conterminous United States for the Past Century

D. Mocko, D. Lettenmaier, Dongyue Li, 2021, Journal of Hydrometeorology.

GLACE: The Global Land–Atmosphere Coupling Experiment. Part II: Analysis

Taikan Oki, Randal D. Koster, David Mocko, 2006, Journal of Hydrometeorology.

Atmospheric Water Balance and Variability in the MERRA-2 Reanalysis

Michael G. Bosilovich, David Mocko, Andrea Molod, 2017 .

A High‐Resolution Land Data Assimilation System Optimized for the Western United States

Sujay V. Kumar, D. Mocko, J. Famiglietti, 2021, JAWRA Journal of the American Water Resources Association.

Automated model integration at source code level: An approach to implementing models into the NASA Land Information System

G. S. Nearing, Shugong Wang, David Mocko, 2014, Environmental Modelling & Software.

NCA-LDAS: Overview and Analysis of Hydrologic Trends for the National Climate Assessment.

Bailing Li, Matthew Rodell, Hualan Rui, 2019, Journal of hydrometeorology.

The Land surface Data Toolkit (LDT v7.2) – a data fusion environment for land data assimilation systems

Bailing Li, Shugong Wang, David Mocko, 2018, Geoscientific Model Development.

Shugong Wang, David Mocko, Christa D. Peters-Lidard, 2017 .

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

Bailing Li, David Mocko, Matthew Rodell, 2017 .

Basin‐scale assessment of the land surface water budget in the National Centers for Environmental Prediction operational and research NLDAS‐2 systems

Lifeng Luo, David Mocko, Michael J. Brewer, 2016 .

Basin‐scale assessment of the land surface energy budget in the National Centers for Environmental Prediction operational and research NLDAS‐2 systems

Sujay V. Kumar, D. Mocko, M. Ek, 2016 .

NLDAS Views of North American 2011 Extreme Events

D. Mocko, B. Vollmer, B. Teng, 2014 .

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

Eric F. Wood, David Mocko, Mark Svoboda, 2014 .

Objective Blends of Multiple Ensemble-Mean NLDAS Drought Indices

D. Mocko, M. Ek, E. Wood, 2013 .

Overview of the north American land data assimilation system (NLDAS)

J. D. Tarpley, D. Mocko, A. Robock, 2013 .

Multimodel Analysis of Energy and Water Fluxes: Intercomparisons between Operational Analyses, a Land Surface Model, and Remote Sensing

D. Mocko, M. Bosilovich, E. Wood, 2012 .

Integrating Gridded NASA Hydrological Data into CUAHSI HIS

D. Mocko, D. Maidment, B. Vollmer, 2011 .

BRIDGING THE GAP BETWEEN NASA HYDROLOGICAL DATA AND THE GEOSPATIAL COMMUNITY

D. Mocko, D. Maidment, B. Vollmer, 2011 .

Terrestrial Hydrological Data from NASA's Hydrology Data and Information Services Center (HDISC): Products, Services, and Applications

D. Mocko, H. Fang, M. Rodell, 2010 .

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

D. Mocko, D. Verseghy, Y. Xue, 2003 .

Implementation of a soil albedo scheme in the CABLEv1.4b land surface model and evaluation against MODIS estimates over Australia

Crystal B. Schaaf, Jason P. Evans, Andrew J. Pitman, 2014 .

Uncertainties, Correlations, and Optimal Blends of Drought Indices from the NLDAS Multiple Land Surface Model Ensemble

Eric F. Wood, David Mocko, Christa D. Peters-Lidard, 2014 .

Irrigation characterization improved by the direct use of SMAP soil moisture anomalies within a data assimilation system

Sujay V. Kumar, D. Mocko, R. Bindlish, 2022, Environmental Research Letters.

Quantifying the Added Value of Snow Cover Area Observations in Passive Microwave Snow Depth Data Assimilation

David Mocko, Christa D. Peters-Lidard, Augusto Getirana, 2015 .

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

Jiangfeng Wei, Dominik Wisser, P. Dirmeyer, 2013 .

Assimilation of Vegetation Conditions Improves the Representation of Drought over Agricultural Areas

Sujay V. Kumar, D. Mocko, C. Peters-Lidard, 2021, Journal of Hydrometeorology.

Groundwater Recharge Estimated by Land Surface Models: An Evaluation in the Conterminous United States

Sujay V. Kumar, D. Mocko, M. Rodell, 2020 .

Refinements to SSiB with an Emphasis on Snow Physics: Evaluation and Validation Using GSWP and Valdai Data

David Mocko, Yogesh C. Sud, D. Mocko, 2001 .

Attribution of Flux Partitioning Variations between Land Surface Models over the Continental U.S

Sujay V. Kumar, Shugong Wang, Thomas Holmes, 2018, Remote. Sens..

The NASA Hydrological Forecast System for Food and Water Security Applications

Benjamin F. Zaitchik, Randal D. Koster, Amy McNally, 2020 .

LDAS Land Data Assimilation Systems

Hiroko Kato Beaudoing, David Mocko, Matthew Rodell, 2014 .

Evaluation of surface albedo in the CABLE LSM

D. Mocko, C. Schaaf, M. Decker, 2014 .

Ten‐year climatology of summertime diurnal rainfall rate over the conterminous U.S.

Roger A. Pielke, David Mocko, Toshihisa Matsui, 2010 .

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

Sujay V. Kumar, D. Mocko, C. Peters-Lidard, 2016, Journal of hydrometeorology.

Automated model integration at source code level: An approach to implementing models into the NASA Land Information System

Sujay V. Kumar, D. Mocko, K. Arsenault, 2022, Environmental Modelling & Software.

Soil Surface Runoff Scheme for Improving Land-Hydrology and Surface Fluxes in Simple SiB (SSiB)

D. Mocko, Y. Sud, 1999 .

Comparison of a Land Surface Model (SSiB) to Three Parameterizations of Evapotranspiration—A Study Based on ISLSCP Initiative I Data

D. Mocko, Y. Sud, 1998 .

Comparing evaporative sources of terrestrial precipitation and their extremes in MERRA using relative entropy

Michael G. Bosilovich, David Mocko, Paul A. Dirmeyer, 2014 .

Influence of Land Surface Fluxes on Precipitation: Inferences from Simulations Forced with Four ARM–CART SCM Datasets

R. Koster, D. Mocko, Y. Sud, 2001 .

Influence of the Biosphere on Precipitation: July 1995 Studies with the ARM-CART Data

R. Koster, D. Mocko, Y. Sud, 2000 .

Performance of two cloud-radiation parameterization schemes in the finite volume general circulation model for anomalously wet May and June 2003 over the continental United States and Amazonia

D. Mocko, Y. Sud, Shian‐Jiann Lin, 2006 .

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

P. Dirmeyer, D. Mocko, M. Bosilovich, 2013 .

Evaluating Observation Influence on Regional Water Budgets in Reanalyses

D. Mocko, M. Bosilovich, J. Chern, 2015 .