Access the full text.
Sign up today, get DeepDyve free for 14 days.
Sujay Kumar, R. Reichle, K. Harrison, C. Peters-Lidard, S. Yatheendradas, J. Santanello (2012)
A comparison of methods for a priori bias correction in soil moisture data assimilationWater Resources Research, 48
R. Feddes, M. Menenti, P. Kabat, W. Bastiaanssen (1993)
Is large-scale inverse modelling of unsaturated flow with areal average evaporation and surface soil moisture as estimated from remote sensing feasible?Journal of Hydrology, 143
B. Mueller, M. Hirschi, C. Jiménez, P. Ciais, P. Dirmeyer, A. Dolman, J. Fisher, M. Jung, F. Ludwig, F. Maignan, D. Miralles, M. Mccabe, M. Reichstein, J. Sheffield, Kaicun Wang, E. Wood, Yongqiang Zhang, S. Seneviratne (2013)
Benchmark products for land evapotranspiration: LandFlux-EVAL multi-data set synthesisHydrology and Earth System Sciences, 17
J. Santanello, M. Friedl, M. Ek (2007)
Convective Planetary Boundary Layer Interactions with the Land Surface at Diurnal Time Scales: Diagnostics and FeedbacksJournal of Hydrometeorology, 8
Z. Sorbjan (1995)
Toward Evaluation of Heat Fluxes in the Convective Boundary LayerJournal of Applied Meteorology, 34
J. Santanello, C. Peters-Lidard, A. Kennedy (2012)
Diagnosing the Nature of Land-Atmosphere Coupling: A Case Study of Dry/Wet Extremes
C. Peters-Lidard, D. Mocko, Matthew Garcia, J. Santanello, M. Tischler, M. Moran, Yihua Wu (2008)
Role of precipitation uncertainty in the estimation of hydrologic soil properties using remotely sensed soil moisture in a semiarid environmentWater Resources Research, 44
R. Hess (2001)
Assimilation of screen-level observations by variational soil moisture analysisMeteorology and Atmospheric Physics, 77
D. Marquardt (1963)
An Algorithm for Least-Squares Estimation of Nonlinear ParametersJournal of The Society for Industrial and Applied Mathematics, 11
Patricia Lawston, J. Santanello, B. Hanson, Kristi Arsensault (2020)
Impacts of Irrigation on Summertime Temperatures in the Pacific NorthwestEarth Interactions
G. Salvucci, P. Gentine (2013)
Emergent relation between surface vapor conductance and relative humidity profiles yields evaporation rates from weather dataProceedings of the National Academy of Sciences, 110
K. Macro, L. Matott, A. Rabideau, Seyed Ghodsi, Zhenduo Zhu (2019)
OSTRICH-SWMM: A new multi-objective optimization tool for green infrastructure planning with SWMMEnviron. Model. Softw., 113
J. Roundy, C. Ferguson, E. Wood (2013)
Temporal Variability of Land–Atmosphere Coupling and Its Implications for Drought over the Southeast United StatesJournal of Hydrometeorology, 14
R. Stull (1988)
An Introduction to Boundary Layer Meteorology
Lingbin Yang, Guoqing Sun, Lu Zhi, Jian-jun Zhao (2018)
Negative soil moisture-precipitation feedback in dry and wet regionsScientific Reports, 8
P. Dirmeyer, Zaiyu Wang, M. Mbuh, H. Norton (2014)
Intensified land surface control on boundary layer growth in a changing climateGeophysical Research Letters, 41
M. Drusch, K. Scipal, P. Rosnay, G. Balsamo, E. Andersson, P. Bougeault, P. Viterbo (2009)
Towards a Kalman Filter based soil moisture analysis system for the operational ECMWF Integrated Forecast SystemGeophysical Research Letters, 36
Sujay Kumar, C. Peters-Lidard, Yudong Tian, P. Houser, J. Geiger, S. Olden, L. Lighty, J. Eastman, B. Doty, P. Dirmeyer (2006)
Land information system: An interoperable framework for high resolution land surface modelingEnviron. Model. Softw., 21
C. Peters-Lidard, L. Davis (2000)
Regional Flux Estimation in a Convective Boundary Layer Using a Conservation ApproachJournal of Hydrometeorology, 1
R. Koster, Zhichang Guo, Rongqian Yang, P. Dirmeyer, K. Mitchell, M. Puma (2009)
On the Nature of Soil Moisture in Land Surface ModelsJournal of Climate, 22
Kenneth Levenberg (1944)
A METHOD FOR THE SOLUTION OF CERTAIN NON – LINEAR PROBLEMS IN LEAST SQUARESQuarterly of Applied Mathematics, 2
H. Cleugh, M. Raupach, P. Briggs, P. Coppin (2004)
Regional-Scale Heat and Water Vapour Fluxes in an Agricultural Landscape: An Evaluation of CBL Budget Methods at OASISBoundary-Layer Meteorology, 110
A. Hirsch, J. Evans, G. Virgilio, S. Perkins‐Kirkpatrick, D. Argüeso, A. Pitman, C. Carouge, J. Kala, J. Andrys, P. Petrelli, B. Rockel (2019)
Amplification of Australian Heatwaves via Local Land‐Atmosphere CouplingJournal of Geophysical Research: Atmospheres, 124
R. Koster, S. Mahanama, T. Yamada, G. Balsamo, A. Berg, M. Boisserie, P. Dirmeyer, F. Doblas-Reyes, G. Drewitt, C. Gordon, Z. Guo, Jee-Hoon Jeong, D. Lawrence, W-S Lee, Z. Li, L. Luo, S. Malyshev, W. Merryfield, S. Seneviratne, T. Stanelle, B. Hurk, F. Vitart, E. Wood (2010)
Contribution of land surface initialization to subseasonal forecast skill: First results from a multi‐model experimentGeophysical Research Letters, 37
Yuqiong Liu, L. Bastidas, H. Gupta, S. Sorooshian (2003)
Impacts of a Parameterization Deficiency on Offline and Coupled Land Surface Model SimulationsJournal of Hydrometeorology, 4
S. Wang, J. Santanello, Hailan Wang, D. Barandiaran, R. Pinker, S. Schubert, R. Gillies, R. Oglesby, K. Hilburn, A. Kilic, P. Houser (2015)
An intensified seasonal transition in the Central U.S. that enhances summer droughtJournal of Geophysical Research: Atmospheres, 120
Patricia Lawston, J. Santanello, B. Zaitchik, M. Rodell (2015)
Impact of Irrigation Methods on Land Surface Model Spinup and Initialization of WRF ForecastsJournal of Hydrometeorology, 16
D. Miralles, A. Teuling, C. Heerwaarden, J. Arellano (2014)
Mega-heatwave temperatures due to combined soil desiccation and atmospheric heat accumulationNature Geoscience, 7
J. Santanello, P. Dirmeyer, C. Ferguson, K. Findell, A. Tawfik, A. Berg, M. Ek, P. Gentine, B. Guillod, C. Heerwaarden, J. Roundy, V. Wulfmeyer (2017)
Land–Atmosphere Interactions: The LoCo PerspectiveBulletin of the American Meteorological Society
W. Crow, Concepcion Gomez, J. Sabater, T. Holmes, C. Hain, Fangni Lei, Jianzhi Dong, J. Alfieri, Martha Anderson (2020)
Soil Moisture–Evapotranspiration Overcoupling and L-Band Brightness Temperature Assimilation: Sources and Forecast ImplicationsJournal of Hydrometeorology, 21
Yuchun Hu, Xiaogang Gao, W. Shuttleworth, H. Gupta, J. Mahfouf, P. Viterbo (1999)
Soil‐moisture nudging experiments with a single‐column version of the ECMWF modelQuarterly Journal of the Royal Meteorological Society, 125
Yuqiong Liu, H. Gupta, S. Sorooshian, L. Bastidas, W. Shuttleworth (2005)
Constraining Land Surface and Atmospheric Parameters of a Locally Coupled Model Using Observational DataJournal of Hydrometeorology, 6
T. Hogue, L. Bastidas, H. Gupta, S. Sorooshian, K. Mitchell, W. Emmerich (2005)
Evaluation and Transferability of the Noah Land Surface Model in Semiarid EnvironmentsJournal of Hydrometeorology, 6
Yongjiu Dai, Q. Xin, Nan Wei, Yonggen Zhang, W. Shangguan, Hua Yuan, Shupeng Zhang, Shaofeng Liu, Xingjie Lu (2019)
A Global High‐Resolution Data Set of Soil Hydraulic and Thermal Properties for Land Surface ModelingJournal of Advances in Modeling Earth Systems, 11
P. Rosnay, M. Drusch, D. Vasiljevic, G. Balsamo, C. Albergel, L. Isaksen (2013)
A simplified Extended Kalman Filter for the global operational soil moisture analysis at ECMWFQuarterly Journal of the Royal Meteorological Society, 139
J. Santanello, Patricia Lawston, Sujay Kumar, E. Dennis (2019)
Understanding the Impacts of Soil Moisture Initial Conditions on NWP in the Context of Land–Atmosphere CouplingJournal of Hydrometeorology
P. Shellito, Sujay Kumar, J. Santanello, P. Lawston-Parker, J. Bolten, M. Cosh, D. Bosch, C. Collins, S. Livingston, J. Prueger, M. Seyfried, P. Starks (2020)
Assessing the Impact of Soil Layer Depth Specification on the Observability of Modeled Soil Moisture and Brightness TemperatureJournal of Hydrometeorology, 21
Mina Behrouz, Zhenduo Zhu, L. Matott, A. Rabideau (2020)
A new tool for automatic calibration of the Storm Water Management Model (SWMM)Journal of Hydrology, 581
K. Harrison, Sujay Kumar, C. Peters-Lidard, J. Santanello (2012)
Quantifying the change in soil moisture modeling uncertainty from remote sensing observations using Bayesian inference techniquesWater Resources Research, 48
J. Muñoz‐Sabater, H. Lawrence, C. Albergel, P. Rosnay, L. Isaksen, S. Mecklenburg, Y. Kerr, M. Drusch (2019)
Assimilation of SMOS brightness temperatures in the ECMWF Integrated Forecasting SystemQuarterly Journal of the Royal Meteorological Society, 145
C. Peters-Lidard, E. Kemp, T. Matsui, J. Santanello, Sujay Kumar, Jossy Jacob, T. Clune, W. Tao, M. Chin, A. Hou, J. Case, Dongchul Kim, Kyu-Myong Kim, W. Lau, Yuqiong Liu, Jainn Shi, D. Starr, Q. Tan, Z. Tao, B. Zaitchik, B. Zavodsky, Sara Zhang, M. Zupanski (2015)
Integrated modeling of aerosol, cloud, precipitation and land processes at satellite-resolved scalesEnviron. Model. Softw., 67
F. Peng, M. Mu, Guodong Sun (2020)
Evaluations of Uncertainty and Sensitivity in Soil Moisture Modeling on the Tibetan PlateauTellus A: Dynamic Meteorology and Oceanography, 72
Max, J. Suarez, Ming-Dah, Chou
Global Modeling and Data Assimilation
C. Ferguson, J. Santanello, P. Gentine (2015)
Enhanced Soundings for Local Coupling Studies: 2015 ARM Climate Research Facility Field Campaign
W. Skamarock, J. Klemp, J. Dudhia, Dave Gill, D. Barker, M. Duda, Xiang-Yu Huang, Wei Wang, Jordan Powers (2008)
A Description of the Advanced Research WRF Version 3, 113
R. Koster, P. Dirmeyer, Zhichang Guo, G. Bonan, Edmond Chan, P. Cox, C. Gordon, S. Kanae, E. Kowalczyk, D. Lawrence, Ping Liu, Cheng-Hsuan Lu, S. Malyshev, B. Mcavaney, K. Mitchell, D. Mocko, T. Oki, K. Oleson, A. Pitman, Y. Sud, C. Taylor, D. Verseghy, R. Vasic, Y. Xue, T. Yamada (2004)
Regions of Strong Coupling Between Soil Moisture and PrecipitationScience, 305
P. Dirmeyer (2011)
The terrestrial segment of soil moisture–climate couplingGeophysical Research Letters, 38
J. Santanello, C. Peters-Lidard, Matthew Garcia, D. Mocko, M. Tischler, M. Moran, D. Thoma (2007)
Using remotely-sensed estimates of soil moisture to infer soil texture and hydraulic properties across a semi-arid watershedRemote Sensing of Environment, 110
Gabrielle Lannoy, R. Koster, R. Reichle, S. Mahanama, Qing Liu (2014)
An updated treatment of soil texture and associated hydraulic properties in a global land modeling systemJournal of Advances in Modeling Earth Systems, 6
Yuqiong Liu, H. Gupta, S. Sorooshian, L. Bastidas, W. Shuttleworth (2004)
Exploring parameter sensitivities of the land surface using a locally coupled land-atmosphere modelJournal of Geophysical Research, 109
F. Mesinger, G. Dimego, E. Kalnay, P. Shafran, W. Ebisuzaki, D. Jovic, J. Woollen, K. Mitchell, E. Rogers, Michael Ek, Yun Fan, R. Grumbine, W. Higgins, Hong Li, Ying Lin, G. Manikin, David Parrish, Wei Shi (2006)
NORTH AMERICAN REGIONAL REANALYSISBulletin of the American Meteorological Society, 87
A. Betts, A. Barr (1996)
First International Satellite Land Surface Climatology Field Experiment 1987 sonde budget revisitedJournal of Geophysical Research, 101
J. Holland (1975)
Adaptation in natural and artificial systems
M. Ek, K. Mitchell, Ying Lin, E. Rogers, P. Grunmann, V. Koren, G. Gayno, J. Tarpley (2003)
Implementation of Noah land surface model advances in the National Centers for Environmental Prediction operational mesoscale Eta modelJournal of Geophysical Research, 108
D. Entekhabi, G. Asrar, A. Betts, K. Beven, R. Bras, C. Duffy, T. Dunne, R. Koster, D. Lettenmaier, D. McLaughlin, W. Shuttleworth, M. Genuchten, Ming Wei, E. Wood (2013)
An Agenda for Land-Surface Hydrology Research and a Call for the Second International Hydrological Decade
J. Santanello, M. Friedl, W. Kustas (2005)
An Empirical Investigation of Convective Planetary Boundary Layer Evolution and Its Relationship with the Land SurfaceJournal of Applied Meteorology, 44
H. Gupta, L. Bastidas, S. Sorooshian, W. Shuttleworth, Zong‐Liang Yang (1999)
Parameter estimation of a land surface scheme using multicriteria methodsJournal of Geophysical Research, 104
A. Haghnegahdar, B. Tolson, B. Davison, F. Seglenieks, Erika Klyszejko, E. Soulis, V. Fortin, L. Matott (2014)
Calibrating Environment Canada's MESH Modelling System over the Great Lakes BasinAtmosphere-Ocean, 52
J. Santanello, C. Peters-Lidard, Sujay Kumar, C. Alonge, W. Tao (2009)
A Modeling and Observational Framework for Diagnosing Local Land–Atmosphere Coupling on Diurnal Time ScalesJournal of Hydrometeorology, 10
Ethan Gutmann, Eric Small (2005)
The effect of soil hydraulic properties vs. soil texture in land surface modelsGeophysical Research Letters, 32
L. Gu, T. Meyers, S. Pallardy, P. Hanson, Bai Yang, M. Heuer, K. Hosman, J. Riggs, D. Sluss, S. Wullschleger (2006)
Direct and indirect effects of atmospheric conditions and soil moisture on surface energy partitioning revealed by a prolonged drought at a temperate forest siteJournal of Geophysical Research, 111
Pierre Gentine, A. Chhang, A. Rigden, G. Salvucci (2016)
Evaporation estimates using weather station data and boundary layer theoryGeophysical Research Letters, 43
P. Shellito, E. Small, M. Cosh (2015)
Calibration of Noah Soil Hydraulic Property Parameters Using Surface Soil Moisture from SMOS and Basinwide In Situ ObservationsJournal of Hydrometeorology, 17
AbstractAccurately representing land–atmosphere (LA) interactions and coupling in NWP systems remains a challenge. New observations, incorporated into models via assimilation or calibration, hold the promise of improved forecast skill, but erroneous model coupling can hinder the benefits of such activities. To better understand model representation of coupled interactions and feedbacks, this study demonstrates a novel framework for coupled calibration of the single column model (SCM) capability of the NASA Unified Weather Research and Forecasting (NU-WRF) system coupled to NASA’s Land Information System (LIS). The local land–atmosphere coupling (LoCo) process chain paradigm is used to assess the processes and connections revealed by calibration experiments. Two summer case studies in the U.S. Southern Great Plains are simulated in which LSM parameters are calibrated to diurnal observations of LoCo process chain components including 2-m temperature, 2-m humidity, surface fluxes (Bowen ratio), and PBL height. Results show a wide range of soil moisture and hydraulic parameter solutions depending on which LA variable (i.e., observation) is used for calibration, highlighting that improvement in either soil hydraulic parameters or initial soil moisture when not in tandem with the other can provide undesirable results. Overall, this work demonstrates that a process chain calibration approach can be used to assess LA connections, feedbacks, strengths, and deficiencies in coupled models, as well as quantify the potential impact of new sources of observations of land–PBL variables on coupled prediction.
Journal of Hydrometeorology – American Meteorological Society
Published: Sep 24, 2021
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.