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Optimization of key land surface albedo parameter reduces wet bias of climate modeling for the Tibetan Plateau

Researchers optimized a key land surface parameter to reduce the wet bias of climate models for the Tibetan Plateau. The adjustments weakened land-atmosphere interactions, leading to a 16% decrease in precipitation estimates and improved accuracy at 66% of rain gauge stations.

SourceScience China Press·JournalScience China Earth Sciences·TypeComputational simulation/modeling·DateAug 12, 2025

Why isn't Colorado's snowpack ending up in the Colorado River? New research suggests the problem might be the lack of spring rainfall

A recent study by University of Washington researchers found that warmer, drier springs account for almost 70% of the discrepancy between predicted and actual streamflow in Colorado. The team's findings suggest that plants rely more on snowmelt during dry springs, leaving less water to flow into nearby streams.

SourceUniversity of Washington·JournalGeophysical Research Letters·DateAug 16, 2024

Predictive models augur that at the end of the century fields will need more water than today

Researchers from the University of Córdoba used machine learning models to predict reference evapotranspiration in Southern Spain until 2100. The projections indicate a significant increase in water needs, with air temperature being the key factor in calculating this parameter.

SourceUniversity of Córdoba·JournalComputers and Electronics in Agriculture·TypeData/statistical analysis·DateDec 11, 2023

New MU study examines variability of water, carbon in Missouri agriculture ecosystems and future impact on crops

A new University of Missouri study examines the impact of farming practices on crop resilience to climate change, focusing on water and carbon fluxes in three contrasting ecosystems. The research found that native prairie ecosystems are most resilient to extreme weather, while tilled cropping systems are more sensitive.

SourceUniversity of Missouri-Columbia·JournalAgricultural and Forest Meteorology·TypeExperimental study·DateJun 21, 2023

Projection of China’s future runoff based on the CMIP6 mid-high warming scenarios

This study uses the EDCFM method to downscale and bias-correct six CMIP6 GCMs for China's hydrological applications. The results indicate that SSP2-4.5 and SSP5-8.5 scenarios will bring increased volatility in precipitation, evapotranspiration, and runoff. Multi-year average annual values are projected to increase under these scenarios.

SourceScience China Press·JournalScience China Earth Sciences·DateApr 18, 2023

UMD researchers unlock the potential of trees for managing environmental impacts in cities

Researchers found that individual urban trees, such as street trees, can capture and store rainfall at a rate of three times that of clusters or patches. The study used sap flux sensors to monitor transpiration rates in 18 mature red maple trees, revealing significantly higher transpiration rates in single trees compared to cluster trees.

SourceUniversity of Maryland·JournalScientific Reports·DateNov 18, 2021

A well-rooted study

A recent study led by UC Santa Barbara's Marc Mayes investigates how patterns in tree water loss to the atmosphere relates to groundwater supplies. The results validate at landscape-wide scales ideas that scientists have proposed based on decades of research.

SourceUniversity of California - Santa Barbara·JournalHydrological Processes·DateDec 16, 2020

Scientists apply the METRIC model to estimate the land surface evapotranspiration in Nepal

The METRIC model was used to simulate and evaluate surface evapotranspiration in Nepal, showing good applicability and accuracy. The study found an inverse relation between elevation and ET, highlighting its potential for irrigation management and soil moisture assessment in the country's mountainous regions.

SourceInstitute of Atmospheric Physics, Chinese Academy of Sciences·JournalAtmospheric and Oceanic Science Letters·DateNov 24, 2020

Mountain vegetation dries out Alpine water fluxes

During droughts, mountain forests and grasslands at higher elevations release more water into the air than in normal growth periods. This is due to increased metabolism promoting water uptake by vegetation. As a result, evapotranspiration rates are above average, draining rivers and streams of half their usual volume.

SourceETH Zurich·JournalNature Climate Change·DateJan 29, 2020