Results 101 to 110 of about 222,791 (242)

Characterizing Seasonal Variation of the Atmospheric Mixing Layer Height Using Machine Learning Approaches

Remote Sensing
As machine learning becomes more integrated into atmospheric science, XGBoost has gained popularity for its ability to assess the relative contributions of influencing factors in the atmospheric boundary layer height.
Yufei Chu, Guo Lin, Min Deng, Hanqing Guo, Jun A. Zhang   +4 more
doaj   +1 more source

Returning to New Orleans after Hurricane Katrina [PDF]

We examine the determinants of returning to New Orleans within 18 months of Hurricane Katrina. Our theoretical framework predicts the probability of returning is positively associated with less hurricane damage and greater pre-hurricane levels of ...
Cecilia Rouse, Christina Paxson
core  

Health Challenges for the People of New Orleans: The Kaiser Post-Katrina Baseline Survey [PDF]

, 2007
Presents detailed findings from a household survey of Greater New Orleans area residents conducted in Fall 2006. Examines the health care status of residents and their access to health care services after the Hurricane Katrina ...

core  

Using dendroclimatic analysis of exotic deciduous conifers in an arboretum to document tree growth in response to climate change, Northeast Ohio, USA

PLANTS, PEOPLE, PLANET, EarlyView.
Rising temperatures and wetter conditions in the Midcontinent of North America are influencing climate responses in trees. Dendroclimatological analyses of four exotic deciduous conifer species from Secrest Arboretum, Northeast Ohio help identify past, present and future climate‐tree interactions.
Gregory Wiles, Nicholas Wiesenberg, Srushti Chaudari, Wenshuo Zhao, Mazvita Chikomo, Benjamin Gaglioti, Meagen Pollock   +6 more
wiley   +1 more source

The Record‐Setting 2018 Eastern North Pacific Hurricane Season

Geophysical Research Letters, 2019
The extremely active 2018 eastern North Pacific (ENP) hurricane season set records for number of hurricane days, major hurricane days, and accumulated cyclone energy (ACE). The Western Development Region (116°W–180°) was especially active, shattering its
Kimberly M. Wood, Philip J. Klotzbach, Jennifer M. Collins, Carl J. Schreck   +3 more
doaj   +1 more source

The Economic Growth Impact of Hurricanes: Evidence from US Coastal counties [PDF]

We estimate for the first time the impact of hurricane strikes on local economic growth rates and how this is reflected in more aggregate growth patterns. To this end we assemble a panel data set of US coastal counties' growth rates and construct a novel
Eric Strobl
core  

Exceptionally poor and good medium‐range forecasts of the large‐scale circulation over Europe in ERA5 reforecasts

Quarterly Journal of the Royal Meteorological Society, EarlyView.
This study investigates year‐round exceptionally poor and good day‐6 forecasts of the 500‐hPa geopotential height field over Europe using 45 years of ERA5 reforecasts and applies a weather regime perspective to analyse large‐scale pattern evolution and regime transitions.
Seraphine Hauser, Steven M. Cavallo, Linus Magnusson, Jonathan E. Martin, David B. Parsons   +4 more
wiley   +1 more source

Cloud Height Distributions and the Role of Vertical Mixing in the Tropical Cyclone Eye Derived From Compact Raman Lidar Observations

Geophysical Research Letters
The distribution of tropical cyclone (TC) eye cloud heights is documented for the first time using compact Raman lidar (CRL) measurements with high spatial resolution.
Ethan J. Murray, Jason Dunion, Kristopher B. Karnauskas, Zhien Wang, Jun A. Zhang   +4 more
doaj   +1 more source

Does vertical wind shear increase tropical cyclone rain?

Quarterly Journal of the Royal Meteorological Society, EarlyView.
A 26‐year modern precipitation dataset is used to systematically assess tropical cyclone (TC) rainfall responses to vertical wind shear (VWS). VWS enhances rainfall volume in TCs by up to 23%, despite reducing storm intensity, revealing a trade‐off where VWS mitigates wind damage but potentially amplifies flood risk.
King Heng Lau, Ralf Toumi
wiley   +1 more source

COBASE: A new copula‐based shuffling method for ensemble weather forecast postprocessing

Quarterly Journal of the Royal Meteorological Society, EarlyView.
We propose COBASE, a novel copula‐based postprocessing methododology that combines the strengths of multivariate parametric correction with non‐parametric rank‐based approaches. We consider two case studies for multi‐site temperature in Austria and multi‐site temperature and dew‐point temperature in the Netherlands.
Maurits Flos, Bastien François, Irene Schicker, Kirien Whan, Elisa Perrone   +4 more
wiley   +1 more source