A5004496817- Precipitation Measurement and Analysis
- Meteorological Phenomena and Simulations
- Satellite Communication Systems
- Spacecraft Design and Technology
- Tropical and Extratropical Cyclones Research
- Soil Moisture and Remote Sensing
- Climate variability and models
- Geophysics and Gravity Measurements
- Atmospheric aerosols and clouds
- Ocean Waves and Remote Sensing
- Spacecraft and Cryogenic Technologies
- Solar Radiation and Photovoltaics
- Space exploration and regulation
- Remote Sensing and Land Use
- Urban Green Space and Health
- Oceanographic and Atmospheric Processes
- Cryospheric studies and observations
- Opportunistic and Delay-Tolerant Networks
- Artificial Intelligence in Healthcare
- Wind and Air Flow Studies
- Remote Sensing in Agriculture
- IoT-based Smart Home Systems
- Seismic Waves and Analysis
Colorado State University
2018-2024
Cooperative Institute for Research in Environmental Sciences
2022-2023
Indian Institute of Technology Madras
2011-2012
The effects of urban trees on public health should change over decades due to shifts in tree composition and abundance, environmental conditions, human demography, disease incidence. However, there are few case studies documenting changes the health-related ecosystem services disservices provided by time. Here we use seven censuses quantify city-owned air pollution, allergenic pollen, hydrology, heat abundance conditions Ithaca, New York, a small city Northeastern United States. We also...
The INvestigation of Convective UpdraftS (INCUS) is a NASA Earth Venture mission (EVM-3) that will provide the first global systematic investigation into convective mass flux, vertical transport air and water, its evolution within deep tropical convection.  overarching goal INCUS to understand why, when where storms form, why only some produce extreme weather.  led by PI Susan van den Heever Colorado State University (CSU), in collaboration with NASA/Jet Propulsion...
Abstract This study targeted improving Collaborative Adaptive Sensing of the Atmosphere’s (CASA) 6-h lead time predictive ability by blending radar-based nowcast with NWP model over Dallas–Fort Worth (DFW) urban radar network. also depicts recent updates in CASA’s real-time reflectivity system assessing nine precipitation cases DFW region. framework displayed better primer outcomes than WRF Model forecast for 1 h and 30 min. After that time, began decreasing compared to Model. To broaden 6...
The Temporal Experiment for Storms and Tropical Systems (TEMPEST) mission concept consists of a constellation five identical 6U-Class nanosatellites observing at millimeter-wave frequencies with five-minute temporal sampling to observe the time evolution clouds their transition precipitation. TEMPEST is intended improve understanding cloud processes, by providing critical information on development precipitation microphysics improving our some largest sources uncertainty in process models....
In this study, a machine-learning model was used to produce surface rainfall estimates from Temporal Experiment for Storms and Tropical Systems – Demonstration (TEMPEST-D) microwave radiance observations CubeSat. The is based on an artificial neural network (ANN). space-borne TEMPEST-D sensor performed brightness temperature (TB) at five frequencies (i.e., 87, 164, 174, 178, 181 GHz) during its nearly three-year mission. TBs were as inputs, the multiradar/multisensor system (MRMS) radar-only...
The current study addresses the role of heat and moisture emitted from anthropogenic sources on local weather with aid numerical prediction (NWP). by industries to atmosphere are considered main in this study. In order understand effect weather, is conducted capture impact no change. results compared against a control run case without perturbation also where both perturbed temperature as single parameter. Angul district Odisha that houses over 4000 our region. simulations performed using...
Abstract Advanced Quantitative Precipitation Information (AQPI) is a synergistic project that combines observations and models to improve monitoring forecasts of precipitation, streamflow, coastal flooding in the San Francisco Bay Area. As an experimental system, AQPI leverages more than decade research, innovation, implementation statewide, state-of-the-art network observations, development next generation weather forecast models. was developed as prototype response requests from water...
Microwave radiation with the inherent advantage of its ability to partially penetrate clouds is ideally suited for remote measurements precipitation, especially over oceanic regions. The retrieval problem great practical interest, as precipitation oceans has be necessarily remotely sensed. More importantly, also a crucial input in many weather and climate models. A downward looking space borne radiometer such TRMM's Imager (TMI), however, does not sense surface rain fall directly. Rather, it...
This paper presents cross-validation of nearly simultaneous observations between the Temporal Experiment for Storms and Tropical Systems<b> -</b>Demonstration<b> (</b>TEMPEST-D) RainCube (Radar in a CubeSat) satellite microwave sensors over precipitation systems. senses atmosphere using Ka-band nadir-pointing radar, TEMPEST-D multi-frequency millimeter-wave radiometers. Nine systems were used this study. Occurring two-year period, these storms scattered many regions world from...
In the present study, dynamically downscaled Weather Research and Forecasting (WRF) model simulations of winter (DJF) seasonal precipitation were evaluated over Western Himalayas (WH) at grey zone configurations (at horizontal resolutions 15 km (D01) 5 (D02)) further validated using satellite-based (IMERG; 0.1°), observational (IMD; 0.25°), reanalysis (ERA5; 0.25° IMDAA; 0.108°) gridded datasets during 2001–2016. The findings demonstrate that both (D01 D02) are effective representing...
The objective of this study is to cross-validate observations over precipitating systems by microwave radiometers on the Temporal Experiment for Storms and Tropical Systems Demonstration (TEMPEST-D) CubeSat mission Global Precipitation Measurement (GPM) Microwave Imager (GMI). purpose paper twofold: first, show consistency between TEMPEST-D GMI observations, second, demonstrate potential enhance temporal sampling when are merged. Two cross-validation methodologies were employed. first...
The Portable Weather Radar (PWR) demonstrates a robust radar system to substantially improve weather observation for the US Air Force (USAF). PWR uses solid state, distributed phased array RF electronics, implemented as hybrid and mechanical spin, scanning system. supports electronic scan in elevation azimuth provide full hemispherical volumetric coverage surveillance. phase-spin architecture removes gimbal significantly decrease costs increase lifetime. Furthermore, control utilizes System...
Small satellite constellations provide the potential to improve spatiotemporal resolution of microwave observations precipitation from low-Earth orbit.&#160; Shorter revisit times are essential understanding development and evolution extreme systems, in turn improving numerical weather prediction accuracy parameterization events global climate models.&#160; To this end, Temporal Experiment for Storms Tropical Systems (TEMPEST) was proposed 2013 as a constellation 6U CubeSats LEO...
Abstract. Water is a precious resource and important for human health, agriculture, industry, the environment. When water in short supply, monitoring predicting current future occurrence of precipitation-producing clouds essential. In this study, we investigate cloud microphysical features several convective systems United Arab Emirates (UAE) using multiple data sources, including aircraft measurements, satellite observations, weather radar reanalysis data. The observation dataset from an...
Global observations of clouds and precipitation are essential to improve monitoring prediction hurricanes, tropical cyclones severe storms with substantial impacts on human life property. To understand cloud processes that lead rain, snow, sleet hail in a variety climate environments, rapid revisit global basis necessary. this end, geostationary satellites have substantially improved weather by providing visible infrared measurements temporal resolution the order few minutes. However,...
This paper is a tribute to Prof Frank Marzano's legacy. The objective of this study cross-validate radar (active sensor) and radiometer (passive satellite observations over tropical cyclones, typhoons hurricanes. To accomplish this, Global Precipitation Measurement (GPM) Dual-frequency Radar (DPR) are compared with GPM Microwave Imager (GMI) Temporal Experiment for Storms Tropical Systems Demonstration (TEMPEST-D) CubeSat precipitating systems. purpose twofold: first, demonstrate methodology...