A5048857237- Climate variability and models
- Hydrology and Drought Analysis
- Climate change impacts on agriculture
- Remote Sensing in Agriculture
- Hydrology and Watershed Management Studies
- Plant Water Relations and Carbon Dynamics
- Flood Risk Assessment and Management
- Meteorological Phenomena and Simulations
- Precipitation Measurement and Analysis
- Land Use and Ecosystem Services
- Agricultural Economics and Practices
- Food Security and Health in Diverse Populations
- Regional Development and Management Studies
- Smart Agriculture and AI
- Rice Cultivation and Yield Improvement
- Context-Aware Activity Recognition Systems
- Hydrological Forecasting Using AI
- Agricultural Innovations and Practices
- Remote Sensing and LiDAR Applications
- Greenhouse Technology and Climate Control
- Solar Radiation and Photovoltaics
- Tropical and Extratropical Cyclones Research
- Geophysics and Gravity Measurements
- Spatial and Panel Data Analysis
- Ecology and Vegetation Dynamics Studies
United States Geological Survey
2014-2025
Earth Resources Observation and Science Center
2019-2025
Government of the United States of America
2023
Museo Nacional de Ciencias Naturales
2023
University of Sioux Falls
2021
University of California, Santa Barbara
2019
NOAA National Centers for Environmental Prediction
2019
NOAA Earth System Research Laboratory
2019
Goddard Space Flight Center
2019
Early Warning (United States)
2019
Abstract The Climate Hazards group Infrared Precipitation with Stations (CHIRPS) dataset builds on previous approaches to ‘smart’ interpolation techniques and high resolution, long period of record precipitation estimates based infrared Cold Cloud Duration (CCD) observations. algorithm i) is built around a 0.05° climatology that incorporates satellite information represent sparsely gauged locations, ii) daily, pentadal, monthly 1981-present CCD-based estimates, iii) blends station data...
Estimating precipitation variations in space and time is an important aspect of drought early warning environmental monitoring. An evolving drier-than-normal season must be placed historical context so that the severity rainfall deficits may quickly evaluated. To this end, scientists at U.S. Geological Survey Earth Resources Observation Science Center, working closely with collaborators University California, Santa Barbara Climate Hazards Group, have developed a quasi-global (50°S–50°N,...
Attribution of extreme events is a challenging science and one that currently undergoing considerable evolution. In this paper are 19 analyses by 18 different research groups, often using quite methodologies, 12 occurred in 2012. addition to investigating the causes these events, multiple four high temperatures United States, record low levels Arctic sea ice, heavy rain northern Europe eastern Australia, provide an opportunity compare contrast strengths weaknesses various methodologies. The...
Abstract On a planet with population of more than 7 billion, how do we identify the millions drought-afflicted people who face real threat livelihood disruption or death without humanitarian assistance? Typically, these are poor and heavily dependent on rainfed agriculture livestock. Most live in Africa, Central America, Southwest Asia. When rains fail, incomes diminish while food prices increase, cutting off poorest (most often women children) from access to adequate nutrition. As seen...
Rainfall and temperature are two of the major factors triggering malaria epidemics in warm semi-arid (desert-fringe) high altitude (highland-fringe) epidemic risk areas. The ability mosquitoes to transmit Plasmodium spp. is dependent upon a series biological features generally referred as vectorial capacity. In this study, capacity model (VCAP) was expanded include influence rainfall variables on transmission potential. Data from remote sensing products were used monitor integrated into VCAP...
Abstract Understanding the dynamics and physics of climate extremes will be a critical challenge for twenty-first-century science. Increasing temperatures saturation vapor pressures may exacerbate heat waves, droughts, precipitation extremes. Yet our ability to monitor temperature variations is limited declining. Between 1983 2016, number observations in University East Anglia Climatic Research Unit (CRU) T max product declined precipitously (5900 → 1000); 1000 poorly distributed...
Abstract. From the Hindu Kush mountains to Registan Desert, Afghanistan is a diverse landscape where droughts, floods, conflict, and economic market accessibility pose challenges for agricultural livelihoods food security. The ability remotely monitor environmental conditions critical support decision making humanitarian assistance. Famine Early Warning Systems Network (FEWS NET) Land Data Assimilation System (FLDAS) global Central Asia data streams provide information on hydrologic states...
Food insecurity continues to grow in Sub-Saharan Africa (SSA). In 2019, chronically malnourished people numbered nearly 240 million, or 20% of the population SSA. Globally, numerous efforts have been made anticipate potential droughts, crop conditions, and food shortages order improve early warning risk management for insecurity. To support this goal, we develop an Earth Observation (EO) machine-learning-based operational, subnational maize yield forecast system evaluate its out-of-sample...
Abstract Sub-Saharan Africa faces severe agricultural data scarcity amidst high food insecurity and a large yield gap, making crop production crucial for understanding enhancing systems. To address this HarvestStat presents the largest compilation of open-access subnational statistics time-series across Africa. Based on collated by USAID’s Famine Early Warning Systems Network, are standardized calibrated changing administrative units to produce consistent continuous time-series. The dataset...
Sub-Saharan Africa (SSA) faces severe agricultural data scarcity amidst high food insecurity and a large yield gap, making crop production crucial for understanding enhancing systems. To address this HarvestStat presents the largest compilation of open-access subnational statistics time-series across SSA. Based on collated by USAID’s Famine Early Warning Systems Network, are standardized calibrated changing administrative units to produce consistent continuous time-series. The dataset...
Abstract In many river basins around the world, inaccessibility of flow data is a major obstacle to water resource studies and operational monitoring. This paper describes geospatial streamflow modeling system which parameterized with global terrain, soils land cover run operationally satellite‐derived precipitation evapotranspiration datasets. Simple linear methods transfer through subsurface, overland phases, resulting flows are expressed in terms standard deviations from mean annual flow....
The mitigation of losses due to extreme climate events and long-term adaptation requires informed decision-making. In the past few decades, several remote sensing modeled-based Earth observations (EOs) have been developed provide an unprecedented global overview routine monitoring its impacts on vegetation hydrologic conditions, with goal supporting However, their usage in decision-making is particularly limited climate-risk vulnerable situ data-scarce regions such as sub-Saharan Africa,...
The majority of people in East Africa rely on the agro-pastoral system for their livelihood, which is highly vulnerable to droughts and flooding. Agro-pastoral are endemic region considered main natural hazard that contributes food insecurity. Drought begins with rainfall deficit, gradually leading soil moisture higher land surface temperature, finally impacts vegetation growth. Therefore, monitoring conditions essential understanding progression drought, potential effects security,...
Drought is one of the key drivers food insecurity in Afghanistan, which among most insecure countries world. In this study, we build on previous research and seek to answer central question: "What influence El Niño-Southern Oscillation (ENSO) drought outlooks agricultural yield outcome how do these influences vary spatially?" We so by utilizing multiple indicators droughts available wheat reports. find a clear distinction probability (defined as being lower tercile) Afghanistan during La...
The monitoring of wide-area hydrologic events requires the manipulation large amounts geospatial and time series data into concise information products that characterize location magnitude event. To perform these manipulations, scientists at U.S. Geological Survey Center for Earth Resources Observation Science (EROS), with cooperation Agency International Development, Office Foreign Disaster Assistance (USAID/OFDA), have implemented a modeling system. system includes assimilation component...
Satellite images from multiple sensors and dates were analyzed to measure the extent of flooding caused by Hurricane Katrina in New Orleans, La., area. The flood polygons combined with a high-resolution digital elevation model estimate water depths volumes designated areas. satellite acquisitions enabled monitoring floodwater volume through time.
Developing an operational water requirement satisfaction index (WRSI) for rangeland monitoring is important goal of the famine early warning systems network. An WRSI has been developed crop monitoring, but until recently a comparable was not successful because extremely poor performance when based on published coefficients (K c) rangelands. To improve WRSI, we simple calibration technique that adjusts K c values using long-term rainfall distribution and reference evapotranspiration data. The...