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   https://doi.org/10.1029/2023JD039972  

   Zhou, Xin; Letson, Fred; Crippa, Paola; Pryor, Sara C (May 2024, Journal of Geophysical Research: Atmospheres)

   Abstract A range of multi‐year observational data sets are used to characterize the hydroclimate of the Dallas Fort‐Worth area (DFW) and to investigate the impact of urban land cover on daily accumulated precipitation, RADAR composite reflectivity (cREF), and cloud top height (CTH) during the warm season. Analyses of observational data indicate rainfall rates (RR) in a 45° annulus sector 50–100 km downwind of the city are enhanced relative to an upwind area of comparable size. Enhancement of mean precipitation intensity in this annulus sector is not observed on days with spatially averaged RR > 6 mm/day. Under some flow directions, the probability of cREF >30 dBZ, occurrence of hail, and the probability of CTH >10,000 geopotential meters are also enhanced up to 200 km downwind of DFW. Two deep convection events that passed over DFW are simulated with the Weather Research and Forecasting model using a range of microphysical schemes and evaluated using RADAR observations. Model configurations that exhibit the highest fidelity in these control simulations are used in a series of perturbation experiments where the areal extent of the city is varied between zero (replacement with grassland) and eight times its current size. These perturbation experiments indicate a non‐linear response of Mesoscale Convective System properties to the urban areal extent and a very strong sensitivity to the microphysical scheme used. The impact on precipitation from the urban area, even when it is expanded to eight‐times the current extent, is much less marked for deep convection with stronger synoptic forcing. 

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2. Pre-hurricane Ian Imagery of Fort De Soto and Cedar Key, Florida

   https://doi.org/10.17603/ds2-5dxp-8523  

   Raubenheimer, Britt; Mieras, Ryan; RAPID, NHERI; Lyda, Andrew; Zdebski, Jaqueline; Cordero, Orlando; Dedinsky, Karen; Grilliot, Michael (January 2023, Designsafe-CI)

   RAPID Facility staff collected pre-hurricane coastal UAS imagery on September 26 - 27, 2022. 

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3. Predicting Flash Floods in the Dallas-Fort Worth Metroplex Using Workflows and Cloud Computing

   https://doi.org/10.1109/eScience51609.2021.00050  

   Lyons, Eric; Seo, Dong-Jun; Kim, Sunghee; Habibi, Hamideh; Papadimitriou, George; Tanaka, Ryan; Deelman, Ewa; Zink, Michael; Mandal, Anirban (September 2021, 2021 IEEE 17th International Conference on eScience (eScience))

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4. Induced seismicity in the Dallas-Fort Worth Basin: Enhanced seismic catalogue and evaluation of fault slip potential

   https://doi.org/10.1190/segam2020-3428222.1  

   Li, Bing Q.; Avouac, Jean-Philippe; Ross, Zachary E.; Du, Jing; Rebel, Estelle (September 2020, SEG Technical Program Expanded Abstracts 2020)

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   We present an updated catalogue of seismicity in the Dallas-Fort Worth basin from 2008 to the end of 2019 using state-of-the-art phase picking and association methods based on machine learning. We then calculate the pore pressure and poroelastic stress changes on a monthly basis between 2000 and 2020 for the whole basin, incorporating fluid injection/extraction histories at 104 saltwater injection and 20576 production wells. These pore pressure and poroelastic stress changes are calculated using coupled analytical solutions for a point source injection in a 3D homogeneous isotropic medium, and are superposed for all wells. We suggest that the poroelastic effects of produced gas and water contribute significantly to fault instability. 

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5. Is flood resilience planning improving? A longitudinal analysis of networks of plans in Boston and Fort Lauderdale

   https://doi.org/10.1016/j.crm.2021.100354  

   Woodruff, Sierra; Meerow, Sara; Gilbertson, Philip; Hannibal, Bryce; Matos, Melina; Roy, Malini; Malecha, Matthew; Yu, Siyu; Berke, Phil (January 2021, Climate Risk Management)

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