Article
Geosciences, Multidisciplinary
Hui Zheng, Wenli Fei, Zong-Liang Yang, Jiangfeng Wei, Long Zhao, Lingcheng Li, Shu Wang
Summary: This study presents a dataset simulated from an ensemble of 48 physics configurations of the Noah LSM to estimate terrestrial water budget (TWB) in the United States. The dataset covers the period from 1980 to 2015 at a monthly temporal and 1/8 spatial resolution, including variables such as evapotranspiration, runoff, and terrestrial water storage. Evaluations show that the dataset performs well in reproducing observed water storage and snow water equivalent.
EARTH SYSTEM SCIENCE DATA
(2023)
Article
Water Resources
Sagar Gautam, Christine Costello, Claire Baffaut, Allen Thompson, E. John Sadler
Summary: This study predicts the future occurrence of drought and wet periods based on various factors, indicating an increased frequency and duration of future droughts primarily due to a decline in summer precipitation. Despite an increase in precipitation, the study shows an increased risk of spring droughts in the future, emphasizing the importance of process representation with hydrologic models for drought computation.
HYDROLOGICAL SCIENCES JOURNAL
(2021)
Article
Water Resources
Mohammad Reza Eini, Mohammad Ali Olyaei, Taraneh Kamyab, Javad Teymoori, Luca Brocca, Mikolaj Piniewski
Summary: This study evaluated the performance of non-gauge-corrected satellite precipitation estimates in Iran, finding that the SPC dataset showed the best accuracy compared to the national dataset and two other satellite datasets. The use of satellite products is crucial due to the lack of real-time rainfall data in Iran and other developing countries.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2021)
Article
Agriculture, Multidisciplinary
Xiao Bai, Xiaoxu Jia, Chunlei Zhao, Ming'an Shao
Summary: Afforestation has increased vegetation cover and slowed soil erosion in China's Loess Plateau, but excessive afforestation in semi-arid regions can lead to imbalances in soil water, causing soil desiccation and the formation of dry soil layers. Understanding the spatial characteristics of dry soil layers in artificial forests is crucial for soil water management and ecological sustainability in water-scarce regions.
AGRICULTURE ECOSYSTEMS & ENVIRONMENT
(2021)
Article
Geosciences, Multidisciplinary
Leonie Kiewiet, Ernesto Trujillo, Andrew Hedrick, Scott Havens, Katherine Hale, Mark Seyfried, Stephanie Kampf, Sarah E. Godsey
Summary: This study investigates the impact of rainfall and snowmelt on streamflow in rain-snow transition zones. The results highlight the importance of spatial distribution of surface water input (SWI) for streamflow generation and cessation, emphasizing the need for spatially distributed modeling or monitoring of snowpack and rainfall dynamics.
HYDROLOGY AND EARTH SYSTEM SCIENCES
(2022)
Article
Biodiversity Conservation
Nicholas Sievert, Craig Paukert, Joanna Whittier, Wesley Daniel, Dana Infante, Jana Stewart
Summary: Climate change is expected to alter stream fish habitat, leading to changes in fish communities. This study identifies areas at high and low risk of experiencing climate-induced changes in stream class. The findings help identify opportunities for preservation, restoration, and adaptation based on climate risk and other stressors. Understanding the communities at risk due to climate change will aid in developing strategies to sustain them in the future.
ECOLOGICAL INDICATORS
(2022)
Article
Geosciences, Multidisciplinary
Aleyda M. Trevino, Alexander R. Stine, Peter Huybers
Summary: Neural networks have been found to be more skillful than linear methods in reconstructing the self-calibrated Palmer Drought Severity Index (scPDSI) in the contiguous United States. The improved skill of the neural network reconstructions is attributed to capturing non-linear growth-climate relationships. The results suggest less severe and more stable incidences of drought in the U.S. Southwest over the past two centuries.
GEOPHYSICAL RESEARCH LETTERS
(2021)
Article
Environmental Sciences
Kevin Blagrave, Sapna Sharma
Summary: By analyzing the 34-year records of 74 lakes in the Midwestern and Northeastern United States, we found that lake ice phenology is influenced by air temperatures and lake morphology. Air temperatures can explain 64% of the variation in ice-on dates, while lake morphology explains the remaining 36%. It is projected that by the end of the century, these lakes may lose 43 days of ice cover due to climate change.
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
Environmental Sciences
Tianling Qin, Jianming Feng, Xin Zhang, Chenhao Li, Jingjing Fan, Cheng Zhang, Biqiong Dong, Hao Wang, Denghua Yan
Summary: Soil is a crucial mediator between the atmosphere and vegetation, serving as a regulator of slope hydrological processes. The impact of global warming on Soil Moisture Content (SMC) remains unclear. This study examines the global trend of SMC at various depths over the past 70 years and projected trends for the next 70 years using the GLDAS-NOAH025 dataset and CMIP6 models. Findings indicate a significant decrease of 0-200 cm SMC at a rate of 1.284 kg/m² per year from 2000 to 2020, with 31.67% of the global area showing a significant decreasing trend. Global warming and reduced precipitation contribute to the attenuation of SMC. Future scenarios predict further SMC decay, exacerbating global water cycle and extreme meteorological disasters, leading to more severe soil drought challenges.
SCIENCE OF THE TOTAL ENVIRONMENT
(2023)
Article
Meteorology & Atmospheric Sciences
Amar Deep Tiwari, Parthasarathi Mukhopadhyay, Vimal Mishra
Summary: This study evaluates the impact of bias correction of meteorological forecasts and streamflow postprocessing on hydrological prediction skill in India. The results show that bias correction significantly improves precipitation forecasts, but has limited effect on streamflow prediction.
JOURNAL OF HYDROMETEOROLOGY
(2022)
Article
Water Resources
Sujan Pal, Jiali Wang, Jeremy Feinstein, Eugene Yan, Veerabhadra Rao Kotamarthi
Summary: This study investigates the potential impacts of climate change on precipitation, streamflow, and inland flooding in the northeastern United States (NEUS) during the mid-21st century. Through dynamically downscaled climate projections and hydrologic modeling, the results show a significantly wetter winter regime and potential drier conditions during late spring to early summer in the region. Extreme flow and water depths resulting from inland flooding are projected to increase, and the total flooded area is likely to be 20% greater by the mid-century. These increased risks can be attributed to changes in precipitation intensity, snow availability, evapotranspiration, and soil moisture.
JOURNAL OF HYDROLOGY-REGIONAL STUDIES
(2023)
Article
Environmental Sciences
Tamir Kamai, Shmuel Assouline
Summary: The study introduces a novel model to describe the evaporation process from porous media, demonstrating its reliability and predictive capabilities through validation and experiments. The model accounts for soil hydraulic properties and can be used to analyze evaporation under different conditions.
WATER RESOURCES RESEARCH
(2021)
Article
Engineering, Electrical & Electronic
Pang-Wei Liu, Rajat Bindlish, Peggy OaNeill, Bin Fang, Venkat Lakshmi, Zhengwei Yang, Michael H. Cosh, Tara Bongiovanni, Chandra Holifield Collins, Patrick J. Starks, John Prueger, David D. Bosch, Mark Seyfried, Mark R. Williams
Summary: A thermal hydraulic disaggregation of soil moisture (THySM) algorithm was implemented to downscale NASA's soil moisture active passive (SMAP) enhanced soil moisture (SM) product to 1 km. Combining thermal inertia theory and a soil hydraulic-based approach, the algorithm considers fine-scale SM spatial distribution driven by both heat fluxes and hydraulic conductivity. The algorithm's accuracy was evaluated using in situ SM measurements and showed higher accuracy than the SMAP/Sentinel-1 1 km SM product.
IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING
(2022)
Article
Engineering, Civil
Matthew Weathers, Jon M. Hathaway, R. Andrew Tirpak, Anahita Khojandi
Summary: Due to climate change, communities are using interventions like green stormwater infrastructure (GSI) to enhance the resilience of urban drainage systems. Bioretention cells, a common form of GSI, are at risk of reduced function in the future due to deviations from historic precipitation patterns essential to their design. To explore the impacts, an ensemble of climate models were used to compare current and future performances of bioretention cells under different climate change projections.
JOURNAL OF HYDROLOGY
(2023)