- Climate variability and models
- Tropical and Extratropical Cyclones Research
- Flood Risk Assessment and Management
- Meteorological Phenomena and Simulations
- Ocean Waves and Remote Sensing
- Atmospheric chemistry and aerosols
- Fire effects on ecosystems
- Plant Water Relations and Carbon Dynamics
- Plant responses to elevated CO2
- Rangeland and Wildlife Management
- Aeolian processes and effects
- Precipitation Measurement and Analysis
University of Puerto Rico at Río Piedras
2024
Sonoma State University
2019-2023
Abstract Hurricane Maria was associated with record‐breaking rainfall over Puerto Rico and caused unprecedented flooding landslides. Here we analyze the extreme produced by using 35 stations daily precipitation data from 1956–2016. A covariate‐based value analysis point process approach that accounts for natural climate variability long‐term change influences on is applied. single largest maximum event since 1956 had highest total averaged of 129 storms have impacted island 1956. Return...
There is no doubt that global warming altering weather patterns and climatic trends all over the world, yet how Earth's changing climate affecting hurricanes still not fully understood.Hurricanes are powerful tropical cyclones (TCs) develop in warm waters of our planet's oceans.They known as typhoons West Pacific Indian Ocean.Hurricanes mostly powered by waters, it well established ocean temperatures areas where TCs form have been rising since mid-20th century [1].In recent years we...
The Caribbean has displayed a capacity to fulfill climate change projections associated with tropical cyclone-related rainfall and flooding. This article describes the hydrometeorological characteristics of Hurricane Fiona in Puerto Rico September 2022 terms measured interpolated observed peak flows relative previous cyclones from 1899 2017. ranks third overall island-wide total fourth daily rainfall. Maximum during exceeded those previously reported (excluding María 2017) eastern interior...
Abstract In recent years, California has experienced wildfire seasons of increasing frequency and magnitude, especially in terms burned areas. Here, we investigate the precipitation vegetation growth preceding each season for 2001–2020 period to determine if antecedent rainfall led enhanced areas California. Precipitation data from Global Measurement (GPM) Mission Normalized Difference Vegetation Index (NDVI) Enhanced (EVI) are examined were normal, above, or below average, peak wet...
This study explores spatial and temporal changes in the rainfall climatology of Puerto Rico order to identify areas where annual, seasonal or daily precipitation is increasing, decreasing, remaining normal. Total seasonal, were retrieved from 23 historical rain gauges with consistent data for 1956–2021 period. Mann–Kendall trend tests done on annual series, percentage change differences between two different climatologies (1956–1987 1988–2021) calculated. Most stations did not exhibit...
This study investigates the temporal trends and correlations between Saharan dust mass concentration densities (DMCD) Sargassum concentrations (SCT) in tropical North Atlantic. Average DMCD data for June, July, August from 1980 to 2022, alongside SCT same months 2012 were analyzed using Mann–Kendall tests lagged regression models assess whether higher levels correlate with outbreaks region. A comprehensive analysis reveals a significant upward trend quantities over period, summer of...
The 2020 hurricane season in the North Atlantic basin was most active on record, with 30 named tropical cyclones. In this study, climate trends oceanic and atmospheric parameters (including sea surface temperatures, ocean heat content, cloud cover, mid-level humidity, vertical wind shear, level pressure) were used to model cyclone, hurricane, major frequency post-satellite era (1966–2020). relationships between storm variability factors El Niño Southern Oscillation, Multidecadal Meridional...
Abstract. This article analyzes the relationship between off-season tropical cyclone (TC) frequency and climate variability change for Pacific Ocean Atlantic basins. TC track data were used to extract storms 1900–2019 period. counts aggregated by decade, number of first 6 decades (presatellite era) was adjusted. Mann–Kendall nonparametric tests identify trends in decadal multiple linear regression (MLR) models test if climatic or factors explained storms. MLR stepwise procedures implemented...
Abstract. This article analyzes the relationship between off-season tropical cyclone (TC) frequency and climate variability change for Pacific Atlantic Ocean basins. TC track data was used to extract storms 1900–2019 period. counts were aggregated by decade number of first six decades (pre-satellite era) adjusted. Mann-Kendall non-parametric tests identify trends in decadal multiple linear regression models (MRL) test if climatic or factors explained storms. MRL stepwise procedures...