Noah Brauer

Mr. Noah Brauer


Research Focus & Metrics

Academic Career Length

7Years (2020-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 March 2020 in Journal of Hydrometeorology
Verified
Journal Article
Closed access
NBNoah Brauer
Noah Brauer
JBJeffrey Basara
Jeffrey Basara
CHCameron R. Homeyer
Cameron R. Homeyer
GMGreg M. McFarquhar
Greg M. McFarquhar
PKPierre E. Kirstetter
Pierre E. Kirstetter
Hurricane Harvey produced unprecedented widespread rainfall amounts over 1000 mm in portions of southeast Texas, including Houston, from 26 to 31 August 2017. The highly efficient and prolonged warm rain processes associated with Harvey played a key role in the catastrophic flooding that occurred throughout the region. Precipitation efficiency (PE) is widely referred to in the scientific literature when discussing excessive precipitation events that lead to catastrophic flash flooding, but has yet to be explored or quantified in tropical cyclones coincident with polarimetric radar observations. With the introduction of dual-polarization radar to the NEXRAD WSR-88D network, polarimetric radar variables such asZH,ZDR, andKDPcan be used to gain insight into the precipitation processes that contribute to enhanced PE. It was found that 6-h mean values ofZHbetween 35 and 45 dBZ,ZDRbetween 1 and 1.5 dB, andKDPgreater than 1° km−1were collocated with the regions of PE greater than 100% between 27 and 29 August. Additionally, supercell thunderstorms embedded in the outer bands of Harvey were identified via 3–6 km Multi-Radar Multi-Senor (MRMS) rotation tracks and were collocated with swaths of enhanced positiveZH,ZDR, andKDP. A polarimetric rainfall relationship estimates that 1-h mean rainfall rates in these supercells were as high as 85 mm h−1and made a significant contribution to the excessive precipitation event that occurred over the region.

1 February 2020 in Remote Sensing
Verified
Journal Article
Open access
PDF file
Mengye ChenMengye Chen
Mengye Chen
SNSoumaya Nabih
Soumaya Nabih
NBNoah Brauer
Noah Brauer
SGShang Gao
Shang Gao
JGJonathan J. Gourley
Jonathan J. Gourley
Yang HongYang Hong
Yang Hong
A new generation of precipitation measurement products has emerged, and their performances have gained much attention from the scientific community, such as the Multi-Radar Multi-Sensor system (MRMS) from the National Severe Storm Laboratory (NSSL) and the Global Precipitation Measurement Mission (GPM) from the National Aeronautics and Space Administration (NASA). This study statistically evaluated the MRMS and GPM products and investigated their cascading hydrological response in August of 2017, when Hurricane Harvey brought historical and record-breaking precipitation to the Gulf Coast (>1500 mm), causing 107 fatalities along with about USD 125 billion worth of damage. Rain-gauge observations from Harris County Flood Control District (HCFCD) and stream-gauge measurements by the United States Geological Survey (USGS) were used as ground truths to evaluate MRMS, GPM and National Centers for Environmental Prediction (NCEP) gauge-only data by using statistical metrics and hydrological simulations using the Ensemble Framework for Flash Flooding Forecast (EF5) model. The results indicate that remote sensing technologies can accurately detect and estimate the unprecedented precipitation event with their near-real-time products, and all precipitation products produced good hydrological simulations, where the Nash–Sutcliff model efficiency coefficients (NSCE) were close to 0.9 for both the MRMS and GPM products. With the timeliness and seamless coverage of MRMS and GPM, the study also demonstrated the capability and efficiency of the EF5 framework for flash flood modeling over the United States and potentially additional international domains.

28 December 2023 in Journal of Geophysical Research: Atmospheres
Verified
Journal Article
Closed access
NBNoah Brauer
Noah Brauer
PKPierre Kirstetter
Pierre Kirstetter
JBJeffrey Basara
Jeffrey Basara
SHSvetla Hristova-Veleva
Svetla Hristova-Veleva
STSimone Tanelli
Simone Tanelli
JTJoe Turk
Joe Turk

12 August 2022 in Journal of Geophysical Research: Atmospheres
Verified
Journal Article
Closed access
NBNoah Brauer
Noah Brauer
AAA. Addison Alford
A. Addison Alford
SWSean M. Waugh
Sean M. Waugh
MBMichael I. Biggerstaff
Michael I. Biggerstaff
GCGordon D. Carrie
Gordon D. Carrie
RMRobert W. Moore
Robert W. Moore

14 January 2021 in Journal of Hydrometeorology
Verified
Journal Article
Closed access
PDF file
NBNoah Brauer
Noah Brauer
JBJeffrey B. Basara
Jeffrey B. Basara
PKPierre E. Kirstetter
Pierre E. Kirstetter
RWRyann A. Wakefield
Ryann A. Wakefield
CHCameron R. Homeyer
Cameron R. Homeyer
JSJoseph. A. Santanello
Joseph. A. Santanello
Tropical Storm Bill produced over 400 mmof rainfall to portions of southern Oklahoma from 16-20 June 2015, adding to the catastrophic urban and river flooding that occurred throughout the region in the month prior to landfall. The unprecedented excessive precipitation event that occurred across Oklahoma and Texas during May and June 2015 resulted in anomalously high soil moisture and latent heat fluxes over the region, acting to increase the available boundary layer moisture. Tropical Storm Bill progressed inland over the region of anomalous soil moisture and latent heat fluxes which helped maintain polarimetric radar signatures associated with tropical, warm rain events. Vertical profiles of polarimetric radar variables such as ZH, ZDR, KDP, and ρhv were analyzed in time and space over Texas and Oklahoma. The profiles suggest that Tropical Storm Bill maintained warm rain signatures and collision-coalescence processes as it tracked hundreds of kilometers inland away from the landfall point consistent with tropical cyclone precipitation characteristics. Dual-frequency precipitation radar observations from the NASA GPM DPR were also analyzed post-landfall and showed similar signatures of collision-coalescence while Bill moved over north Texas, southern Oklahoma, eastern Missouri, and western Kentucky.