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Full-Text Articles in Meteorology

Precipitation Recorded In The Turkana Basin From 2005 To 2022., Acacia Leakey, Greg Henkes, Mae Saslaw, Dino Martins Jan 2023

Precipitation Recorded In The Turkana Basin From 2005 To 2022., Acacia Leakey, Greg Henkes, Mae Saslaw, Dino Martins

Geosciences Research Data

This is a dataset of precipitation recorded at three sites in northern Kenya near Lake Turkana using standard rain gauges. The data was recorded at the Koobi Fora Research Station (3.947736, 36.186166) from March 2003 until 2006, at the Turkana Basin Institute’s Ileret facility (4.28510, 36.262158) from 2006 to 2022 and at the Turkana Basin Institute’s Turkwel facility (3.140825, 35.864599) from 2012 to 2022. The data was collected manually by TBI staff observing gradation lines on the collectors following rainfall events and recorded as a single total for each 24 hour period.


A Diagnostic Metric For Predicting Tropical Cyclone And Mid-Latitude Floods, Jonathon Klepatzki, Shawn M. Milrad May 2018

A Diagnostic Metric For Predicting Tropical Cyclone And Mid-Latitude Floods, Jonathon Klepatzki, Shawn M. Milrad

Beyond: Undergraduate Research Journal

This study details a dynamic and thermodynamic metric (i.e., Extreme Flood Index [EFI]) designed to diagnose the frequency and intensity of extreme precipitation events associated with stagnant mid-latitude flow patterns (i.e., Rex blocks). As the global climate warms, rapid Arctic warming may be helping to slow the mid-latitude westerly jet stream, resulting in increased mid-latitude flow stagnation. The combination of long-duration ascent associated with easterly winds and warm moist air increases the severity of extreme precipitation events; as such, the EFI is specifically designed to detect this potent combination of ingredients. In 2013, a Rex block stalled a low-pressure system …


Global Projections Of Intense Tropical Cyclone Activity For The Late Twenty-First Century From Dynamical Downscaling Of Cmip5/Rcp4.5 Scenarios, Thomas R. Knutson, Joseph J. Sirutis, Ming Zhao, Robert E. Tuleya, Morris Bender, Gabriel A. Vecchi, Gabriele Villarini, Daniel Chavas Sep 2015

Global Projections Of Intense Tropical Cyclone Activity For The Late Twenty-First Century From Dynamical Downscaling Of Cmip5/Rcp4.5 Scenarios, Thomas R. Knutson, Joseph J. Sirutis, Ming Zhao, Robert E. Tuleya, Morris Bender, Gabriel A. Vecchi, Gabriele Villarini, Daniel Chavas

CCPO Publications

Global projections of intense tropical cyclone activity are derived from the Geophysical Fluid Dynamics Laboratory (GFDL) High Resolution Atmospheric Model (HiRAM; 50-km grid) and the GFDL hurricane model using a two-stage downscaling procedure. First, tropical cyclone genesis is simulated globally using HiRAM. Each storm is then downscaled into the GFDL hurricane model, with horizontal grid spacing near the storm of 6 km, including ocean coupling (e.g., "cold wake" generation). Simulations are performed using observed sea surface temperatures (SSTs) (1980-2008) for a "control run" with 20 repeating seasonal cycles and for a late-twenty-first-century projection using an altered SST seasonal cycle obtained …


Slides: Adapting To Climate Change: Lessons Learnt From The Australian Water Experience, Will Fargher Feb 2011

Slides: Adapting To Climate Change: Lessons Learnt From The Australian Water Experience, Will Fargher

Conversation with Water Management Reps from Colorado and Australia: "Adapting to Climate Change: Lessons Learned from Australia" (February 14)

Presenter: Will Fargher, National Water Commission, Australian Government

18 slides [4 have titles only and are missing images]


Comparison Between Analytical Probabilistic And Computer Simulation Models, Using Current Design Examples, Barry A. Palynchuk Phd Sep 2003

Comparison Between Analytical Probabilistic And Computer Simulation Models, Using Current Design Examples, Barry A. Palynchuk Phd

Barry A. Palynchuk PhD

Closed form analytical expressions have been developed to solve several basic problems related to the hydrologic design of storm water management facilities. The collection of these analytical expressions is referred to as the Analytical Probabilistic Storm Water Models (APSWM). APSWM can be used as an alternative to the design storm simulation models in the design and analysis of storm water management facilities. In this paper, a comparison is made between APSWM and design storm simulation models as applied to an actual design case. Conventional outputs such as runoff volume, peak discharge, and peak discharge from detention ponds are reviewed and …