Tuesday, November 04, 2025

 

New study reveals source of rain is major factor behind drought risks for farmers


UC San Diego–led research shows that understanding where rain comes from could reshape drought planning and land management across the globe



University of California - San Diego



A new University of California San Diego study uncovers a hidden driver of global crop vulnerability: the origin of rainfall itself. 

Published in Nature Sustainability, the research traces atmospheric moisture back to its source—whether it evaporated from the ocean or from land surfaces such as soil, lakes and forests. When the sun heats these surfaces, water turns into vapor, rises into the atmosphere, and later falls again as rain. 

Ocean-sourced moisture travels long distances on global winds, often through large-scale weather systems such as atmospheric rivers, monsoons, and tropical storms. In contrast, land-sourced moisture—often called recycled rainfall—comes from water that evaporates nearby soils and vegetation, feeding local storms. The study finds that this balance between oceanic and terrestrial (land) sources strongly influences a region’s drought risk and crop productivity.

“Our work reframes drought risk—it’s not just about how much it rains, but where that rain comes from,” said Yan Jiang, the study’s lead author and postdoctoral scholar at UC San Diego with a joint appointment at the School of Global Policy and Strategy and Scripps Institution of Oceanography. “Understanding the origin of rainfall and whether it comes from oceanic or land sources, gives policymakers and farmers a new tool to predict and mitigate drought stress before it happens.”

A New Way to Forecast Drought Risk

Using nearly two decades of satellite data, Jiang and co-author Jennifer Burney of Stanford University measured how much of the world’s rainfall comes from land-based evaporation. They discovered that when more than about one-third of rainfall originates from land, croplands are significantly more vulnerable to drought, soil moisture loss and yield declines – likely because ocean-sourced systems tend to deliver heavier rainfall, while land-sourced systems tend to deliver less reliable showers, increasing the chance of water deficits during critical crop growth stages.

This insight provides a new way for farmers and policymakers to identify which regions are most at risk — and to plan accordingly.

“For farmers in areas that rely heavily on land-originating moisture — like parts of the Midwest or eastern Africa — local water availability becomes the deciding factor for crop success,” Jiang explained. “Changes in soil moisture or deforestation can have immediate, cascading impacts on yields.”

Two Global Hotspots: The U.S. Midwest and East Africa

The study highlights two striking hotspots of vulnerability: the U.S. Midwest and tropical East Africa.

In the Midwest, Jiang notes, droughts have become more frequent and intense in recent years — even in one of the world’s most productive and technologically advanced farming regions.

“Our findings suggest that the Midwest’s high reliance on land-sourced moisture, from surrounding soil and vegetation, could amplify droughts through what we call ‘rainfall feedback loops,’” Jiang said. “When the land dries out, it reduces evaporation, which in turn reduces future rainfall—creating a self-reinforcing drought cycle.”

Because this region is also a major supplier to global grain markets, disruptions there have ripple effects far beyond U.S. borders. Jiang suggests that Midwestern producers may need to pay closer attention to soil moisture management, irrigation efficiency and timing of planting to avoid compounding drought stress.

In contrast, East Africa faces a more precarious but still reversible situation. Rapid cropland expansion and loss of surrounding rainforests threaten to undermine the very moisture sources that sustain rainfall in the region.

“This creates a dangerous conflict,” Jiang said. “Farmers are clearing forests to grow more crops, but those forests help generate the rainfall that the crops depend on. If that moisture source disappears, local food security will be at greater risk.”

However, Jiang sees opportunity as well as risk:

“Eastern Africa is on the front line of change, but there is still time to act. Smarter land management — like conserving forests and restoring vegetation — can protect rainfall and sustain agricultural growth.”

Forests as Rainmakers

The research underscores that forests and natural ecosystems are crucial allies in farming. Forests release vast amounts of water vapor into the atmosphere through evaporation and transpiration (when plants produce moisture), effectively seeding the clouds that bring rain to nearby croplands.

“Upland forests are like natural rainmakers,” Jiang said. “Protecting these ecosystems isn’t just about biodiversity—it’s about sustaining agriculture.”

A Tool for Smarter Land and Water Management

Jiang’s research provides a new scientific framework connecting land management, rainfall patterns and crop planning — a relationship that could become central to future drought resilience strategies.

The study’s novel satellite-based mapping technique could help governments and farmers identify where to invest in irrigation infrastructure, soil water storage and forest conservation to maintain reliable rainfall.

Read the full paper, “Crop water origins and hydroclimate vulnerability of global croplands.” 




New study shows high-resolution cmip6 models better capture long-term precipitation trends in high mountain Asia




Institute of Atmospheric Physics, Chinese Academy of Sciences
Linear trends of summer precipitation during 1951–2014 

image: 

Linear trends of summer precipitation during 1951–2014 (units: mm·month⁻¹·decade⁻¹). (a) Observed trends based on GPCC data. (b) Trend differences between low-resolution models and GPCC. (c) Same as (b), but for differences between high- and low-resolution models.

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Credit: Lan Li




High Mountain Asia (HMA), the source region of major Asian rivers, plays a vital role in sustaining downstream water and ecosystem security. Over the past 50 years, summer precipitation in HMA has exhibited a dipole pattern—drying in the south and moistening in the north. While global climate models are widely used to explore the mechanisms and projections of these changes, their performance remains limited by the region's complex terrain and unique climate conditions.  A key question thus arises: Can enhanced model resolution yield greater fidelity in simulating HMA precipitation?

A new study published on October 15 in Journal of Climate addresses this issue, revealing the added value and physical mechanisms of increased horizontal resolution in simulating HMA long-term precipitation trends. The work was led by Ph.D. student Lan Li from the Institute of Atmospheric Physics (IAP), Chinese Academy of Sciences, and the University of Chinese Academy of Sciences (UCAS).

Using six pairs of CMIP6 models with different horizontal resolutions, the team analyzed how higher resolution improves the simulation of long-term summer precipitation trends (1951–2014) and explored the physical mechanisms driving this improvement.

“The high-resolution models capture observed precipitation trends much more accurately than their low-resolution counterparts—especially over the southern margin of the HMA and nearby regions—reducing the wet bias by roughly 65%,” said Lan Li, the study's lead author.

What drives this improvement? “The enhanced performance of high-resolution models primarily stems from remote forcing associated with Indian Ocean SST warming, rather than local orographic effects,” explained Professor Tianjun Zhou, the study's corresponding author.

In-depth analyses of moisture budget and moist static energy budget reveal that the high-resolution models can better capture a warm sea surface temperature (SST) pattern over the central tropical Indian Ocean. This SST anomaly suppresses precipitation over the South China Sea and the Maritime Continent, which in turn triggers a Rossby wave response that generates an anomalous anticyclonic circulation over the northern Bay of Bengal. The resulting anticyclonic flow transports dry air into the southern HMA, suppressing local convection and alleviating excessive precipitation in the region.

This study demonstrates that, under the same physical configuration, climate models with higher horizontal resolution more accurately reproduce precipitation trends over High Mountain Asia. The researchers therefore recommend using high-resolution models when studying water cycle changes in regions with complex terrain. They hope these findings will offer valuable insights for improving the next generation of climate models.