Articles tagged with Precipitation
Researchers estimate that climate change played a significant role in the severity of the 2022 European drought, which affected an area larger than at any time since 1960. The study found that climate change contributed to 31% of the soil moisture deficit and 38% of the drought-affected area.
Researchers estimate the dollar value of weather information to be over $100 billion, highlighting its significant economic impact. The study also explores lightning suppression and a unique 'storm generator' technology that can create thunderstorms in Chinese desert.
Researchers at HUN-REN Centre for Ecological Research found that specific climate periods can shift by several months or even six months within a year, affecting species distribution. This shift poses significant challenges for distribution models, potentially leading to extinction or migration of species.
A global study published in PNAS found that most cities (over 60%) receive more rainfall than their surrounding rural areas, leading to worsened flash flooding. This is due to the convergence of air toward city centers caused by tall buildings and population density.
A new study reveals that risks to global water security are significantly higher when considering the environmental conditions and governability of areas where moisture evaporates before falling as rain. This approach identifies regions with high water scarcity risk, including those dependent on neighboring countries for upwind moisture.
A new study finds that human-induced climate warming has driven increasing precipitation variability over much of the globe, with hotspots in Europe, Australia, and eastern North America. The amplified variability poses significant threats to climate resilience, infrastructure development, agriculture, and ecosystems.
Researchers study droughts, wildfires, and precipitation changes across the US Southeast and globally. The Great Salt Lake's drying exacerbates regional droughts, while a Maui wildfire is linked to atmospheric patterns.
A UC Riverside study found that large fires in California create a self-sustaining cycle of heat and dryness, making it easier for new fires to start. The extra heat reduces humidity, allowing conditions to become favorable for more fire.
A new study by the University of Plymouth found that saturated soils in upland regions could negatively impact the survival rates of young oak saplings and acorns. The research highlights the importance of considering soil conditions when creating temperate rainforests to combat climate change.
Researchers found isolated deep convection (IDCs) mainly concentrate in the southern Tibetan Plateau, with an average of 54.2 IDCs per rainy season. IDCs contribute up to 70% of extreme precipitation in July and August, highlighting their significant role in regional weather patterns.
A study from Colorado State University explores how human activity is altering the atmospheric water cycle, leading to changes in precipitation distribution and cloud formation. The research uses science fiction narratives to imagine possible futures and spark conversations around water management policies.
Research shows that long-term declines in pronghorn productivity are associated with increased oil and gas development and woody encroachment. Manual removal of trees and controlled burning could help protect iconic rangeland species like pronghorn.
A recent Harvard University study found that soil moisture increased across 57% of the US during summer between 2011-2020, contradicting the assumption that rising temperatures lead to drier soils. Precipitation, rather than temperature, is the primary driver of soil moisture trends.
The FengYun 3G (FY-3G) satellite is a groundbreaking tool for measuring global precipitation, offering high-resolution 3D renditions of falling precipitation. The satellite's data will aid in predicting extreme weather events and inform the development of future precipitation satellites.
Researchers found that joint action of tropical and extratropical variations led to persistent heavy rainfall over Japan. The study revealed a link between upper-tropospheric blocking high, near-surface atmospheric flow, and cumulus convection in enhancing the northwestern Pacific subtropical high.
A new Dartmouth study finds that seasonal snowpacks have shrunk significantly over the past 40 years due to human-driven climate change. The sharpest global warming-related reductions are in the Southwestern and Northeastern United States, as well as in Central and Eastern Europe.
The researchers developed an AI-based generative neural network called GAN that can generate highly resolved radar precipitation films from coarsely resolved maps. This higher resolution is required to better forecast heavy local precipitation and the resulting natural disasters in future.
A GEOMAR study found that low North Atlantic sea surface temperatures are responsible for heat events on land. The researchers discovered a link between cold ocean temperatures and European heat waves, which contributes to the formation of high pressure systems and clear skies.
Researchers evaluated global water models using new approach, finding inconsistencies in climate regions and water extremes, with implications for agriculture and groundwater use. The study highlights the need for improved model evaluation methods to inform decision makers and improve model development.
Researchers found that the coastline produces up to five times more giant sea salt aerosols than the open ocean, affecting cloud formation and rainfall around the Hawaiian Islands. The study's findings can improve numerical weather prediction of nearshore cloud formation and rainfall patterns.
A new study reveals a disturbing trend of increased short-duration extreme precipitation over mountainous regions in Southwest China, exacerbating climate change impacts. The research finds that these events are more frequent and intense than total precipitation, posing significant risks to lives and ecosystems.
Researchers found that green spaces alleviate extreme heat's negative impacts on human health, while densely packed buildings increase mortality risk. Urban design strategies incorporating different types of greenery are recommended to mitigate heatwave-associated mortality.
Researchers predict a shift from drying to wetting in the Himalayan region due to reduced anthropogenic aerosol emissions, with climate model simulations suggesting increased precipitation throughout High Mountain Asia by the 2040s. This change is primarily driven by human-induced factors, rather than natural variability.
A recent study by the University of Melbourne found that severe bushfires followed by heavy rainfall are causing platypuses to abandon their homes. The research used environmental DNA sampling to track platypus movement before and after the 2019-2020 megafires, revealing a significant decline in platypus populations in affected areas.
Researchers at the University of Oklahoma are receiving US DOE funding to explore atmospheric processes that lead to extreme weather events. The project aims to better understand blocking patterns and their impact on climate change, ultimately informing local, state, and national leaders on how to prepare for these events.
The State of the Climate report confirms record highs in greenhouse gas concentrations, global sea levels, and ocean heat content. Scientists from over 60 countries contributed to the annual review, providing a comprehensive update on Earth's climate indicators and notable weather events.
A new Dartmouth study projects a 52% increase in extreme precipitation events in the Northeast by the end of the century. The region is expected to experience more frequent heavy rainfall events, with winter and spring contributing most to this projected increase.
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.
A new Dartmouth study examines how changes in precipitation and temperature due to global warming affect streamflow and flooding in the Northeast. The research finds that a warmer climate will lead to increased streamflow and higher flood risk, particularly if soils become wetter and more prone to heavy rainfall events.
A recent study found that temperature and extreme drought drive movement among herds of Plains bison, posing challenges for managing the iconic species. The team analyzed GPS-backed evidence from 33 Plains bison across two sites in Oklahoma, revealing a strong link between air temperature and bison movement.
Researchers from Pusan National University studied compound extreme weather events in northern East Asia and found that a lack of soil moisture led to increased evaporative stress, amplifying heatwaves and triggering compound droughts and heatwaves. Understanding these dynamics is crucial for societal safety.
A study published in Atmospheric Chemistry and Physics found that phytoplankton productivity in the Southern Ocean contributes to dense clouds that reflect sunlight. The high density of water droplets in these clouds helps regulate global temperatures and precipitation patterns.
A recent study found that kilometer-scale modeling better captures precipitation characteristics than quarter-degree resolution models. The researchers attribute this to the ability of kilometer-scale models to more accurately describe sub-grid topography and surface variations, leading to improved precipitation simulation accuracy.
A joint study by the Institute of Atmospheric Physics and the Met Office reduces projection uncertainty in extreme precipitation by 20-40% in mid-to-high latitudes. The emergent relationship between present-day precipitation variability and climate model projections provides a new constraint for more reliable projections.
The new database offers improved estimations of Potential Evapotranspiration and Aridity Index for the entire world at a high spatial resolution. This allows for a finer description of water needs in different regions, enabling better resource management and land-use planning.
Climate change is affecting lakes globally, causing changes in stratification regimes, dissolved oxygen levels, and habitat for native fish. Warmer water temperatures can lead to cyanobacterial blooms, reduced oxygen levels, and increased salinity, impacting aquatic organisms and human activities.
Researchers found a tripole winter precipitation change pattern in the late 1990s around the Tibetan Plateau, affecting eastern India, southern China, and northern regions. This pattern was triggered by changes in tropical Pacific SSTs and influenced by regional circulation patterns.
Researchers from The University of Tokyo developed a novel machine-learning approach to predict local precipitation with high accuracy. By recognizing complex relationships in meteorological data, they created a bias correction method that produced accurate hourly estimates of precipitation.
Researchers found a persistent 20% reduction in carbon dioxide seeping up from the ground during the spring of 2017, coinciding with intense drought and record-high Sierra Nevada snowpack. The study suggests that changes in Earth's hydrology due to climate change can impact volcanic emissions.
Researchers used a novel model ensemble to study compound hot-dry-events and found that precipitation trends determine their future occurrence. The frequency of these events is expected to increase fourfold in a two-degree warmer climate, with an uncertainty of up to 48% for precipitation trends.
In a new study, desert shrubs in the Southwest have increased their water use efficiency at unprecedented rates to survive a decades-long megadrought. The study found that despite this heroic increase, shrubs may not be adapting quickly enough to long-term drying trends in the West.
A Dartmouth team compiled a global-scale dataset to show how uncertainties over determining snow depth can actually improve predictions of water availability. The approach leverages observational and definitional uncertainties to make better assessments of snow droughts and their impacts.
Researchers observed diverse aquatic biota in post-flood communities, with changes in flow dynamics and water chemistry supporting biological adaptation. The study highlights the role of floods in shaping floodplain ecosystems.
New research from a University of South Carolina scientist reveals that rising rivers pose a danger to coastal communities and those farther upstream due to climate change. The study shows how river processes affect entire watersheds down to the coast, contributing to more intense flooding.
Airborne pollen concentrations in Betula microphylla-dominated wetland of Ebinur Lake, Xinjiang, are influenced by meteorological factors such as temperature, precipitation, wind speed, and direction. The study found that airborne pollen composition corresponds to local vegetation and reflects long-distance transported pollen taxa.
A new project led by Cornell University's Flavio Lehner will improve climate models to reduce uncertainty in future water projections. The research aims to assess the sensitivity of models to changing environmental factors, such as temperature and greenhouse gases.
A study found wind farms have a significant effect on local climatology but a minimal impact on regional climate. The Shangyi Wind Farm in China warmed the area by up to 0.95°C at night during summer and autumn, while decreasing wind speed by 6%.
Researchers from the University of Tsukuba found that warm sea surface temperature conditions in the Indian Ocean contribute to anomalous weather events in East Asia, including record-breaking rainfall and severe flooding. The study suggests a link between warming Indian Ocean conditions and stagnation of the Meiyu-Baiu rainband.
A new study incorporated water vapor isotope compositions into a general circulation model to improve forecast accuracy by several percentage points. The Isotope-incorporated Global Spectral Model (IsoGSM) demonstrated improved modeling of air temperature and specific humidity.
Scientists compiled a 71-year potential risk index dataset to estimate TC impact severity on the Chinese mainland, showing increased damage over time. Recent upward trends in precipitation and wind values contribute to larger TC impacts along coastal China.
Researchers developed a simple-to-use Multivariable Integrated Evaluation Tool (MVIETool) to facilitate climate model evaluation and models inter-comparison. The improved MVIE method provides a more comprehensive and precise evaluation of climate model performance, including accurate evaluation results for spatial fields.
Researchers at North Carolina State University found that extreme weather events, such as hurricanes and increased precipitation, affect the amount and composition of tiny phytoplankton in the Neuse River Estuary. The study reveals a shift in concentration and population of picophytoplankton after storms, which could have long-term eff...
Researchers studied severe thunderstorms and lightning activity in Beijing, finding that squall lines and multi-cell thunderstorms are the main types of lightning disaster weather systems. They also discovered a strong relationship between lightning frequency and model parameters, which can be used to improve forecast accuracy.
During extreme drought, C3 biomass production increased five-fold in grasslands while C4 plants declined. This shift is linked to changes in seasonal precipitation patterns favorable for C3 grasses
Researchers from the Institute of Atmospheric Physics, Chinese Academy of Sciences, analyzed Typhoon Haikui (2012) using a multigrid NLS-4DVar method to improve radar data assimilation. This method significantly enhanced the accuracy of 12-h track and accumulated precipitation forecasts.
Researchers reconstructed Yellow River's middle reach runoff from 1492 to 2013 CE, finding lowest natural runoff during drought 1926-1932 CE. Human activity since 1980s decreased precipitation, increased observed runoff variability.
Researchers simulate Holocene effective moisture change in East and Central Asia using a virtual lake system. The study reveals that changes in precipitation and evaporation patterns drove climate change in the region, with decreased effective moisture in the Tibetan Plateau primarily attributed to decreased summer solar radiation.
A new study found that the rainy season in Northern Central Asia will shift from May-July to March-May by the end of the 21st century. This change is attributed to increased precipitation, with a projected 14.41% rise under the highest emission scenario.
New research reveals how El Niño affects soil moisture content, controlling plant growth and food supply. The study identifies areas with severe decreases in soil moisture, such as the Amazon basin and maritime Southeast Asia, which may lead to large-scale plant die-offs.
A new theoretical model breaks down vertical atmospheric movement into dry and moist components, explaining regional patterns of extreme precipitation sensitivity. The model suggests that climate warming impacts vary by latitude, with the dry component dominating in mid-latitudes.