North American extreme precipitation events and related large-scale meteorological patterns: a review of statistical methods, dynamics, modeling, and trends

M Barlow, WJ Gutowski, JR Gyakum, RW Katz, YK Lim… - Climate Dynamics, 2019 - Springer
This paper surveys the current state of knowledge regarding large-scale meteorological
patterns (LSMPs) associated with short-duration (less than 1 week) extreme precipitation …

Post-acute sequelae of COVID-19 in a non-hospitalized cohort: Results from the Arizona CoVHORT

ML Bell, CJ Catalfamo, LV Farland, KC Ernst… - PLoS …, 2021 - journals.plos.org
Clinical presentation, outcomes, and duration of COVID-19 has ranged dramatically. While
some individuals recover quickly, others suffer from persistent symptoms, collectively known …

Daily evaluation of 26 precipitation datasets using Stage-IV gauge-radar data for the CONUS

HE Beck, M Pan, T Roy, GP Weedon… - Hydrology and Earth …, 2019 - hess.copernicus.org
New precipitation (P) datasets are released regularly, following innovations in weather
forecasting models, satellite retrieval methods, and multi-source merging techniques. Using …

[HTML][HTML] An overview of using weather radar for climatological studies: Successes, challenges, and potential

E Saltikoff, K Friedrich, J Soderholm… - Bulletin of the …, 2019 - journals.ametsoc.org
Weather radars have been widely used to detect and quantify precipitation and nowcast
severe weather for more than 50 years. Operational weather radars generate huge three …

The High-Resolution Rapid Refresh (HRRR): an hourly updating convection-allowing forecast model. Part II: Forecast performance

EP James, CR Alexander, DC Dowell… - Weather and …, 2022 - journals.ametsoc.org
Abstract The High-Resolution Rapid Refresh (HRRR) is a convection-allowing
implementation of the Advanced Research version of the Weather Research and Forecast …

Reprocessed, bias-corrected CMORPH global high-resolution precipitation estimates from 1998

P Xie, R Joyce, S Wu, SH Yoo… - Journal of …, 2017 - journals.ametsoc.org
Abstract The Climate Prediction Center (CPC) morphing technique (CMORPH) satellite
precipitation estimates are reprocessed and bias corrected on an 8 km× 8 km grid over the …

[HTML][HTML] Our skill in modeling mountain rain and snow is bypassing the skill of our observational networks

J Lundquist, M Hughes, E Gutmann… - Bulletin of the …, 2019 - journals.ametsoc.org
In mountain terrain, well-configured high-resolution atmospheric models are able to simulate
total annual rain and snowfall better than spatial estimates derived from in situ observational …

Simulating North American mesoscale convective systems with a convection-permitting climate model

AF Prein, C Liu, K Ikeda, R Bullock, RM Rasmussen… - Climate Dynamics, 2020 - Springer
Deep convection is a key process in the climate system and the main source of precipitation
in the tropics, subtropics, and mid-latitudes during summer. Furthermore, it is related to high …

Evaluation of ERA5 precipitation and 10‐m wind speed associated with extratropical cyclones using station data over North America

TC Chen, F Collet, A Di Luca - International Journal of …, 2024 - Wiley Online Library
While the ERA5 reanalysis is commonly utilized in climate studies on extratropical cyclones
(ETCs), only a few studies have quantified its ability in the representation of ETCs over land …

[HTML][HTML] Money doesn't grow on trees, but forecasts do: Forecasting extreme precipitation with random forests

GR Herman, RS Schumacher - Monthly Weather Review, 2018 - journals.ametsoc.org
Money Doesn't Grow on Trees, but Forecasts Do: Forecasting Extreme Precipitation with
Random Forests in: Monthly Weather Review Volume 146 Issue 5 (2018) Jump to Content …