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Abstract (from http://link.springer.com/article/10.1007/s11069-016-2376-z): Drought is among the most insidious types of natural disasters and can have devastating economic and human health impacts. This research analyzes the relationship between two readily accessible drought indices—the Palmer Drought Severity Index (PDSI) and Palmer Hydrologic Drought Index (PHDI)—and the damage incurred by such droughts in terms of monetary loss, over the 1975–2010 time period on monthly basis, for five states in the south-central USA. Because drought damage in the Spatial Hazards Events and Losses Database for the United States (SHELDUS™) is reported at the county level, statistical downscaling techniques were used to estimate...
Categories: Publication;
Types: Citation;
Tags: Drought,
Drought, Fire and Extreme Weather,
South Central CASC,
Statistical Downscaling,
drought
Abstract (from http://onlinelibrary.wiley.com/doi/10.1002/gdj3.47/abstract): Two datasets of soil temperature observations collected at Norman, Oklahoma, USA, were analysed to study horizontal and vertical variability in their observations. The first dataset comprised 15-min resolution soil temperature observations from 20 September 2011 to 18 November 2013 in seven plots across a 10-m transect. In each plot, sensors were located at depths of 5, 10, and 30 cm. All seven plots observed fairly consistent maximum soil temperature observations during the spring, fall, and winter months. Starting in late May, the observed spread in soil temperatures across the 10-m transect increased significantly until August when the...
Categories: Publication;
Types: Citation;
Tags: Drought,
Drought, Fire and Extreme Weather,
Fire,
South Central CASC
Categories: Publication;
Types: Citation;
Tags: Plants,
SAV,
Sea-Level Rise and Coasts,
South Central CASC,
Water, Coasts and Ice,
Abstract (from Wiley): This study supports efforts directed toward research on large-scale atmospheric patterns and on the variability of tornado outbreaks. Specifically, we applied rotated principal component analysis to identify synoptic-scale patterns of 500-hPa geopotential height associated with tornado outbreaks in the United States. We created a database of historic tornado outbreaks using kernel density estimation on events composed of at least seven tornadoes of magnitude (E)F2 or higher (major tornado outbreaks) that occurred in May from 1950 to 2019 (91 events). Results of the analysis show that the first three principal components explained the majority, that is, 74% of the total variation. Based on...
Categories: Publication;
Types: Citation
Conservative agricultural management strategies pursue long-term ecological benefits through practices such as no-tillage, cover crop, and inherent soil properties management. Farmers, however, are often hesitant to adopt such practices due to lack of experience, initial expense, and concern for low crop productivity. Overcoming this barrier requires novel approaches, such as effectively managing the soil microbiome to attain high productivity at a low cost, especially in a semi-arid region. To study the potential of conservation agriculture, we investigated components of soil bacterial community and rhizobial diversity in long-term experimental cotton fields divided into conventional tillage monoculture systems...
Categories: Publication;
Types: Citation
Wetland ecosystems are vital for maintaining global biodiversity, as they provide important stopover sites for many species of migrating wetland-associated birds. However, because weather determines their hydrologic cycles, wetlands are highly vulnerable to effects of climate change. Although changes in temperature and precipitation resulting from climate change are expected to reduce inundation of wetlands, few efforts have been made to quantify how these changes will influence the availability of stopover sites for migratory wetland birds. Additionally, few studies have evaluated how climate change will influence interannual variability or the frequency of extremes in wetland availability. For spring and fall...
Categories: Publication;
Types: Citation
Categories: Publication;
Types: Citation;
Tags: Ecology,
Ecology models,
Hydraulics,
Hydrologic models,
Hydrology,
Advancements in wildfire danger modeling may increase wildfire preparedness, and therefore decrease loss of life, property, and habitat due to wildfire. Recent work by our team has shown wildfire danger models may be improved by incorporating soil moisture information. Still, soil moisture—an important determinant of wildfire risk—is not currently used for wildfire danger assessments because adequate soil moisture information has historically been unavailable. Our project addressed this gap by developing and disseminating improved soil moisture estimates and demonstrating their relevance to wildfire danger assessments. Our objectives were to (1) develop an effective model of soil moisture for the Red River and Rio...
Categories: Publication;
Types: Citation
Abstract (From http://journals.ametsoc.org/doi/abs/10.1175/JHM-D-15-0062.1): Over mountainous terrain, ground weather radars face limitations in monitoring surface precipitation as they are affected by radar beam blockages along with the range-dependent biases due to beam broadening and increase in altitude with range. These issues are compounded by precipitation structures that are relatively shallow and experience growth at low levels due to orographic enhancement. To improve surface precipitation estimation, researchers at the University of Oklahoma have demonstrated the benefits of integrating the Tropical Rainfall Measuring Mission (TRMM) Precipitation Radar (PR) products into the ground-based NEXRAD rainfall...
Categories: Publication;
Types: Citation;
Tags: Indigenous Peoples,
Precipitation,
Rivers, Streams and Lakes,
South Central CASC,
Tribes and Tribal Organizations,
Led by university consortium institutions of the South Central Climate Adaptation Science Center (South Central CASC), this project builds on the successes of similar workshops in 2014, 2016, and 2018 to bring together a cohort of graduate students, post-docs, and early-career environmental professionals within the South Central CASC region and mentor this cohort to become the next generation of USGS leaders and partners. The objectives of the workshop were to: (1) develop the early-career participants’ knowledge, leadership skills, and interdisciplinary collaboration; (2) introduce participants to the goals, structure, and unique research-related challenges of the South Central CASC, its place within the U.S. Department...
Categories: Publication;
Types: Citation
Abstract (from ScienceDirect): Study region Middle Section of the Rio Grande Basin (MRG), U.S. Study focus Long-term tradeoffs of technologically possible land and water management interventions were analyzed to adapt irrigated agriculture to growing water scarcity in a desert environment under a projected warm-dry future. Nineteen different intervention scenarios were investigated to evaluate potential watershed-scale agricultural water savings and associated water budget impacts in the MRG. The interventions are based on (i) management innovations of growers in implementing deficit irrigation and changing cropping patterns using existing crops, (ii) changing cropping patterns by introducing new alternative drought-...
Categories: Publication;
Types: Citation
Dissolved inorganic carbon (DIC) and total alkalinity (TA) are fundamental components of carbonate systems that control pH and buffering capacity of a water body. Three coastal marshes with contrasting salinities in Barataria Basin, Louisiana, USA, were sampled five times between December 2018 and October 2019 to understand seasonal changes in porewater carbonate chemistry and its impact on surrounding water bodies. Porewater DIC and TA increased with depth irrespective of marsh type and ranged from 4.47 to 31.61 mmol/kg and from 1.78 to 28.56 mmol/kg, respectively. The salt marsh had higher porewater DIC and TA compared to the lower salinity intermediate and brackish marshes, probably due to sulfate reduction in...
Categories: Publication;
Types: Citation
Future climate projections illuminate our understanding of the climate system and generate data products often used in climate impact assessments. Statistical downscaling (SD) is commonly used to address biases in global climate models (GCM) and to translate large‐scale projected changes to the higher spatial resolutions desired for regional and local scale studies. However, downscaled climate projections are sensitive to method configuration and input data source choices made during the downscaling process that can affect a projection's ultimate suitability for particular impact assessments. Quantifying how changes in inputs or parameters affect SD‐generated projections of precipitation is critical for improving...
Categories: Publication;
Types: Citation
The Rio Grande is a vital water source for the southwestern States of Colorado, New Mexico, and Texas and for northern Mexico. The river serves as the primary source of water for irrigation in the region, has many environmental and recreational uses, and is used by more than 13 million people including those in the Cities of Albuquerque and Las Cruces, New Mexico; El Paso, Texas; and Ciudad Juárez, Chihuahua, Mexico. However, concern is growing over the increasing gap between water supply and demand in the Upper Rio Grande Basin. As populations increase and agricultural crop patterns change, demands for water are increasing, at the same time the region is undergoing a decrease in supply due to drought and climate...
Categories: Publication;
Types: Citation
Abstract (from Water): This review focuses on the use of Interpretable Artificial Intelligence (IAI) and eXplainable Artificial Intelligence (XAI) models for data imputations and numerical or categorical hydroclimatic predictions from nonlinearly combined multidimensional predictors. The AI models considered in this paper involve Extreme Gradient Boosting, Light Gradient Boosting, Categorical Boosting, Extremely Randomized Trees, and Random Forest. These AI models can transform into XAI models when they are coupled with the explanatory methods such as the Shapley additive explanations and local interpretable model-agnostic explanations. The review highlights that the IAI models are capable of unveiling the rationale...
Categories: Publication;
Types: Citation
The greater Mississippi River Basin (MRB) drains 3.2 million square kilometers of land and spans 31 U.S. states. Ninety percent of all U.S. agricultural exports are grown in the MRB, and about 40 percent of the nation's total exports are transported through its major rivers. Ecologically, 24 terrestrial ecoregions comprise MRB, supporting amphibious, reptile, and mammal species. MRB provides habitat for almost 250 fish and 50 mussel species, its floodplain supports about 40 percent of North America’s wading birds and waterfowl, and over 180 National Wildlife Refuges operate across this region. Climate change is projected to disrupt the amount, frequency, extent, and timing of precipitation events across the MRB....
Categories: Publication;
Types: Citation
The green-up of vegetation in spring brings a pulse of food resources that many animals track during migration. However, green-up phenology is changing with climate change, posing an immense challenge for species that time their migrations to coincide with these resource pulses. We evaluated changes in green-up phenology from 2002 to 2021 in relation to the migrations of 150 Western-Hemisphere bird species using eBird citizen science data. We found that green-up phenology has changed within bird migration routes, and yet the migrations of most species align more closely with long-term averages of green-up than with current conditions. Changing green-up strongly influenced phenological mismatches, especially for...
Categories: Publication;
Types: Citation
Soil moisture is a fundamental determinant of plant growth, but soil moisture measurements are rarely assimilated into grassland productivity models, in part because methods of incorporating such data into statistical and mechanistic yield models have not been adequately investigated. Therefore, our objectives were to (a) quantify statistical relationships between in situ soil moisture measurements and biomass yield on grasslands in Oklahoma and (b) develop a simple, mechanistic biomass-yield model for grasslands capable of assimilating in situ soil moisture data. Soil moisture measurements (as fraction of available water capacity, FAW) explained 60% of the variability in county-level wild hay yield reported by...
Categories: Publication;
Types: Citation
Abstract (from Natural Hazards): Drought indices are useful for quantifying drought severity and have shown mixed success as an indicator of drought damage and biophysical dryness. While spatial downscaling of drought indicators from the climate divisional level to the county level has been conducted successfully in previous work, little research to date has attempted to “upscale” remotely sensed biophysical indicators to match the downscaled drought indices. This upscaling is important because drought damage and indices are often reported at a coarser scale than the biophysical indicators provide. This research upscales National Oceanic and Atmospheric Administration’s Advanced Very High Resolution Radiometer sensor-acquired...
Categories: Publication;
Types: Citation;
Tags: Drought,
Drought, Fire and Extreme Weather,
South Central CASC
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