Article
Multidisciplinary Sciences
Herve Douville, Katharine M. Willett
Summary: Despite improvements in climate modeling, global predictions of the terrestrial water cycle remain uncertain. A study using observed data on temperature and humidity suggests that projections are more accurate when both factors are considered, and highlights the urgent need for mitigation policies. The study also identifies a drying trend in the future, particularly in the northern midlatitudes, and emphasizes the importance of adapting to these changes.
Article
Environmental Sciences
Jianhong Zhou, Kun Yang, Jianzhi Dong, Long Zhao, Huihui Feng, Mijun Zou, Hui Lu, Ronglin Tang, Yaozhi Jiang, Wade T. Crow
Summary: Imperfect land physics in land surface models (LSMs) introduce uncertainty and bias in the representation of land-atmosphere coupling (rho), which degrades the accuracy of lower atmosphere forecasts. This study investigates the potential of two remote sensing (RS)-based references for addressing LSM rho bias. Results show that calibrating LSM using ET-represented rho reference data outperforms using dT-represented rho reference data in ET and dT modeling, due to confounding impacts and uncertainties. Both ET and dT-represented rho references have the potential for diagnosing and understanding LSM rho bias.
REMOTE SENSING OF ENVIRONMENT
(2023)
Article
Geochemistry & Geophysics
Long Zhao, Kun Yang, Jie He, Hui Zheng, Donghai Zheng
Summary: This study explores the feasibility of mapping global soil type and texture using satellite data, demonstrating that the proposed scheme can accurately map soil types compared to existing models. This is particularly crucial for remote areas with limited soil samples.
IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
(2022)
Article
Engineering, Civil
Junhan Zeng, Xing Yuan, Peng Ji, Chunxiang Shi
Summary: This study demonstrates the possibility to further improve soil moisture estimates at a large scale with advanced LSMs, especially in semi-arid regions, while meteorological forcings have a more significant impact on surface layer soil moisture simulations, with LSMs playing a more critical role in the middle and deep layers.
JOURNAL OF HYDROLOGY
(2021)
Article
Engineering, Civil
Jun Qin, Jiaxin Tian, Kun Yang, Hui Lu, Xin Li, Ling Yao, Jiancheng Shi
Summary: Soil moisture plays a critical role in land surface energy and water cycles and is considered an essential climate variable. Microwave remote sensing offers the potential to estimate soil moisture in real-time on a large scale. In this study, a dual-cycle assimilation algorithm is proposed to correct bias in satellite soil moisture products. Numerical experiments show that the presented algorithm outperforms existing correction schemes.
JOURNAL OF HYDROLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Eunkyo Seo, Paul A. Dirmeyer
Summary: Historically, models have been used to analyze global soil moisture and estimate land-atmosphere coupling. However, they are usually only calibrated and validated locally. This study proposes a mathematical approach to adjust satellite-based soil moisture time series using information from physically based land surface model datasets. The adjusted soil moisture shows significantly improved subseasonal variability and temporal correlation, confirming the efficacy of the adjustment method.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Article
Meteorology & Atmospheric Sciences
Lu Su, Qian Cao, Mu Xiao, David M. Mocko, Michael Barlage, Dongyue Li, Christa D. Peters-Lidard, Dennis P. Lettenmaier
Summary: The study examined the drought variability over the conterminous United States using the Noah-MP land surface model and found that the representation of groundwater and dynamic vegetation had different effects on drought reconstruction. Different model configurations showed a small decreasing trend in dry area coverage over CONUS, with representation of groundwater tending to increase drought duration and dynamic vegetation tending to shorten major droughts duration. Regional variations were observed, with the U.S. Southwest having the longest major drought durations and other subregions showing a decrease in dry area coverage.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Wenwen Kong, Karen A. McKinnon, Isla R. Simpson, Marysa M. Lagu
Summary: Understanding the effects of land surface conditions and atmospheric circulation on temperature variance is crucial for accurate predictions of temperature extremes. This study investigates the impact of evaporative resistance (rs) perturbations on summer daily temperature variance using a land surface model. The results show that decreasing rs leads to global cooling, with wetter areas experiencing stronger cooling compared to drier areas. The cooling is primarily caused by changes in shortwave radiation and latent heat flux. Additionally, thermal advection influences temperature response, with temperature variance increasing in drier areas and decreasing in wetter areas as rs decreases. The findings highlight the importance of land-atmosphere interactions in shaping temperature variability.
JOURNAL OF CLIMATE
(2023)
Article
Environmental Sciences
Jiaxin Tian, Jun Qin, Kun Yang, Long Zhao, Yingying Chen, Hui Lu, Xin Li, Jiancheng Shi
Summary: Soil moisture is crucial for land surface processes. Data assimilation can merge satellite observations and land surface models to improve soil moisture estimation. In this study, a dual-cycle assimilation algorithm is proposed, which can simultaneously estimate model parameters, observation operator parameters, model error, and observation error, and outperforms traditional algorithms.
REMOTE SENSING OF ENVIRONMENT
(2022)
Article
Meteorology & Atmospheric Sciences
Mingshan Deng, Xianhong Meng, Yaqiong Lu, Zhaoguo Li, Lin Zhao, Zeyong Hu, Hao Chen, Lunyu Shang, Shaoying Wang, Qian Li
Summary: Soil water and heat transfer modeling in high-altitude cold regions is complex, and this study conducted sensitivity tests and combination experiments using CLM5.0 to improve simulation performance. The SP7 experiment showed the best performances in simulating soil water and heat transfer on the Tibetan Plateau, especially in reducing bias and improving the simulation of soil freezing-thawing processes. Compared to the default simulation, SP7 significantly reduced biases and improved correlation coefficients for soil moisture and temperature.
JOURNAL OF ADVANCES IN MODELING EARTH SYSTEMS
(2021)
Article
Meteorology & Atmospheric Sciences
David O. Benson, Paul A. Dirmeyer
Summary: This study evaluates the performance of forecast models in representing threshold transitions by validation against reanalysis data. The models show poor skill at being initialized on the correct side of the threshold, but improve when normalized to account for deficiencies in their soil moisture climatologies. Models perform better in the U.S. Northwest and worse in the Southwest, and struggle to represent the soil moisture feedback regime. An improvement in soil moisture initialization could further enhance extreme heat forecast skill.
JOURNAL OF CLIMATE
(2023)
Article
Meteorology & Atmospheric Sciences
Nina Raoult, Catherine Ottle, Philippe Peylin, Vladislav Bastrikov, Pascal Maugis
Summary: Investigating the rate at which land surface soils dry after rain events is crucial for terrestrial models. By using observation-based estimates of decay time scale τ, the representation of surface soil moisture (SSM) can be improved, leading to better calibration of the model's drydown processes.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Jorge Arevalo, Josh Welty, Yun Fan, Xubin Zeng
Summary: This study developed a single-layer snow scheme driven by high-quality snow water equivalent data from The University of Arizona to test the Leaky Bucket water-balance model, which outperformed Noah/NLDAS-2. Improvements in the temporal and spatial distribution of soil moisture due to snowpack treatment led to enhanced simulation of drought conditions.
JOURNAL OF HYDROMETEOROLOGY
(2021)
Article
Meteorology & Atmospheric Sciences
Eli J. Dennis, E. Hugo Berbery
Summary: This study examines the uncertainties in the North American atmospheric water cycle caused by the use of different soil datasets. It finds that changes in soil texture lead to significant differences in surface water and energy fluxes, affecting precipitation conditions and wind fields. Through land-atmosphere interactions, soil parameters can also influence different components of the atmospheric water cycle.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Article
Engineering, Civil
Tasnuva Rouf, Viviana Maggioni, Yiwen Mei, Paul Houser
Summary: The study aims to estimate soil moisture at different resolutions for decision making and water resources management. By developing a 500-m atmospheric forcing dataset and using various input variables combinations, results show that downscaled NLDAS-2 atmospheric variables and precipitation can better simulate soil moisture compared to original resolution data.
JOURNAL OF HYDROLOGY
(2021)
Article
Public, Environmental & Occupational Health
Philip R. Berke, Steven M. Quiring, Francisco Olivera, Jennifer A. Horney
Summary: Resilient communities are those less impacted by natural disasters and possess the ability to recover quickly. Building resilience involves accurately assessing hazards, understanding vulnerabilities, and engaging the community in proactive planning, while also collaborating across disciplines and incorporating data from different fields.
Article
Meteorology & Atmospheric Sciences
Shanshui Yuan, Yuechun Wang, Steven M. Quiring, Trent W. Ford, Adam L. Houston
Article
Meteorology & Atmospheric Sciences
Zachary T. Leasor, Steven M. Quiring, Mark D. Svoboda
JOURNAL OF APPLIED METEOROLOGY AND CLIMATOLOGY
(2020)
Article
Engineering, Electrical & Electronic
Shanshui Yuan, Steven M. Quiring, Ling Zhu, Yong Huang, Jiaqi Wang
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS
(2020)
Article
Environmental Sciences
E. Wongso, R. Nateghi, B. Zaitchik, S. Quiring, R. Kumar
WATER RESOURCES RESEARCH
(2020)
Article
Engineering, Civil
Shanshui Yuan, Steven M. Quiring, Margaret M. Kalcic, Anna M. Apostel, Grey R. Evenson, Haley A. Kujawa
JOURNAL OF HYDROLOGY
(2020)
Article
Geosciences, Multidisciplinary
Shanshui Yuan, Steven M. Quiring, Zachary T. Leasor
Summary: The study evaluated the surface soil moisture in the contiguous United States using simulations from the Sixth Phase of the Coupled Model Intercomparison Project (CMIP6), showing significant wetting trends in certain regions. Compared to CMIP5, CMIP6 more accurately captures soil moisture variations, although there is still some variability among individual models within CMIP6.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Meteorology & Atmospheric Sciences
Yuechun Wang, Steven M. Quiring
Summary: This study investigates the influence of soil moisture initialization on the North American Monsoon System (NAMS) using the Weather Research and Forecasting (WRF) model. Results show that different soil moisture initializations can affect precipitation through modulating surface energy partitioning and influencing large-scale pressure and wind patterns. Using high-quality soil moisture products to initialize the model has the potential to improve model representation of the NAMS.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2021)
Article
Environmental Sciences
Zhiying Li, Steven M. Quiring
Summary: Understanding the dominant drivers of hydrological change is crucial for effective water resources management. This study in the United States analyzes 889 watersheds from 1950 to 2009 and finds that precipitation is the primary factor causing wetter conditions, while other factors dominate in dry climates. The study highlights the importance of considering varying drivers in different regions and time periods for sustainable water management.
WATER RESOURCES RESEARCH
(2021)
Article
Environmental Sciences
Michael H. Cosh, Todd G. Caldwell, C. Bruce Baker, John D. Bolten, Nathan Edwards, Peter Goble, Heather Hofman, Tyson E. Ochsner, Steven Quiring, Charles Schalk, Marina Skumanich, Mark Svoboda, Mary E. Woloszyn
Summary: Soil moisture is a critical land surface variable that affects various processes. Despite the development of different methods to determine soil moisture status, there is a lack of cohesive strategy to integrate diverse information sources for national soil moisture products. A national strategy for network coordination with NOAA's National Integrated Drought Information System is in review for implementation.
VADOSE ZONE JOURNAL
(2021)
Article
Environmental Sciences
Zhiying Li, Steven M. Quiring
Summary: This study predicts future streamflow changes in 889 watersheds in the contiguous United States based on projected climate and land use changes. The results show that the random forest model can explain over 85% of the variance in most watersheds. The study also found that relative cumulative moisture surplus, forest coverage, crop land, and urban land are the most important variables affecting the time-varying omega.
WATER RESOURCES RESEARCH
(2022)
Article
Meteorology & Atmospheric Sciences
Trent W. Ford, Joshua Steiner, Bridgette Mason, Steven M. Quiring
Summary: Soil moisture feedbacks are important in regional hydroclimatology, but they are difficult to observe and study outside of model environments. In this study, a climatological assessment of soil moisture-precipitation coupling in the central United States and a process-based analysis were combined to understand the mechanisms of wet- and dry-soil feedbacks. The results show spatial variability in the strength and sign of the coupling, with regions exhibiting both wet- and dry-soil feedbacks. The study confirms the potential of soil moisture feedbacks leading to convection initiation.
JOURNAL OF GEOPHYSICAL RESEARCH-ATMOSPHERES
(2023)
Article
Environmental Sciences
Laiyin Zhu, Steven M. M. Quiring
Summary: The study finds that the continental eastern United States has experienced an increase in extreme precipitation and flooding risk from tropical cyclones due to increased rainfall rates and reduced translation speeds. The southeastern region, with its rapid population growth and economic development, is identified as a hotspot of exposure to tropical cyclone hazards.
COMMUNICATIONS EARTH & ENVIRONMENT
(2022)
Article
Environmental Sciences
G. Brooke Anderson, Joshua Ferreri, Mohammad Al-Hamdan, William Crosson, Andrea Schumacher, Seth Guikema, Steven Quiring, Dirk Eddelbuettel, Meilin Yan, Roger D. Peng
ENVIRONMENTAL HEALTH PERSPECTIVES
(2020)
Article
Environmental Sciences
Liyan Tian, Zachary T. Leasor, Steven M. Quiring
CLIMATE RISK MANAGEMENT
(2020)
