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RAINMAP and the 87th Annual Meeting of the American Meteorological Association (AMS), San Antonio, Texas, 14 - 18 January 2007

Paul D. Baxter [1]

1.     Introduction

The AMS annual meeting spanned the full range of RAINMAP related activity, including sessions on artificial intelligence in the environmental sciences, climate variability and change, hydrology and meteorological observations and instrumentation. Ironically, freak snow and ice storms over central Texas prevented a number of presenters from reaching the conference (Fig. 1). However, in some cases co-authors were able to substitute, and overall the meeting was still highly relevant and engaging. 

Snow in Texas

Fig.1. Snow and ice is a rare occurrence in this part of Texas (approximately once every 20 years).

 

In section 2 of this report I list the papers presented at the meeting of relevance to RAINMAP objectives, providing hyperlinks to download further details.

In section 3 I list potential US collaborators, based on discussions I had while presenting a poster on “Improved accuracy in inferring the fine scale properties of rain rate from rain gauge time series”.

2. Relevant papers

The determination and description of surface weather types in central sudan using the principal components analysis and non- hierarchical clustering methods” by Abdelmola

Capabilities and Limitations of Ensemble Data Assimilation” by Anderson

Object-oriented analysis of precipitation systems in NCEP Stage II analyses” by Baldwin and Trapp

Neural network retrievals of precipitation and atmospheric temperature and moisture profiles from high-resolution microwave and infrared sounding data” by Blackwell and Chen

Assessment of global climate models performance from the characterization of duration, intensity and frequency of daily rainfall. Application to African Sahel” by Bokoye, Gachon, Gauthier, Parishkura, Cotnoir, Vigeant, and Milton

The interaction between model resolution, observation resolution and observation density in data assimilation: a two-dimensional study” by Bondarenko, Ochotta, Saupe, and Wergen

Evaluation of global precipitation in reanalyses” by Bosilovich, Chen, Robertson, and Adler

Extreme hydrologic events from an ensemble of CCSM3 climate change simulations” by Branstetter and Erickson

Robust nonlinear multivariate statistical models for climate analysis” by Cannon and Hsieh

Can IPCC AR4 climate models simulate present extreme daily precipitation distributions and their future changes under global warming scenarios?” by Chen and Knutson

On the validation of the simulation of early season precipitation in the island of Puerto Rico using a mesoscale atmospheric model” by Comarazamy and Gonzalez

NCEP's gridpoint statistical interpolation analysis system” by Derber, Treadon, Wu, Parrish, and Kleist

Identification of intra-month daily mean temperature modes using principal components analysis” by Fisk

Spatial downscaling and evaluation of CMORPH analyses over the continental U.S.” by Garcia, Tian, Peters-Lidard, Eylander, Daly, Joyce, and Janowiak

Winter Test of All-Weather Precipitation Accumulation Gauge for ASOS 2005-2006” by Greeney, Fiore, Dover, and Salyards

Adaptive stochastic modeling using data assimilation” by Hansen and Penland

Passive Microwave Rain Retrievals Using a New, Observations-Based, Parameterization of Sub-satellite Rain Variability” by Hristova-Veleva, Callahan, Dunbar, Stiles, Yueh, Huddleston, Hsiao, Neumann, Freilich, Vanhoff, Tsai, Gaston, Rodriguez, and Weissman

Nonlinear principal component analysis: A new information criterion for model selection in noisy climate datasets” by Hsieh

Noise dependencies for Geonor vibrating wire precipitation gauge” by Holley, Gros, and Hall

Status and outlook for global combined precipitation estimates” by Huffman, Adler, Bolvin, and Nelkin

Finding interesting climate phenomena by exploratory statistical techniques” by Ilin, Valpola, and Oja

NASA-African Monsoon Multidisciplinary Activies (NAMMA-06) Senegal Precipitation Measurements during August-September 2006” by Jenkins, Joseph, Kucera, Fuentes, Gerlach, Gaye, and Ndiaye

Innovations in Spatial Analysis in the Bureau of Meteorology” by Jones, Wang, Plummer, Grant, and Rea

A generalized linear modeling approach to stochastic weather generators” by Katz and Furrer

Dynamic Bayesian Networks for Spatio-Temporal Downscaling of Seasonal Climate to Daily Weather Forecasts” by Khalil, Kwon, and Lall

Potential real-time fully-automated operational rain gauge quality control tools for time-critical NWS hydrologic applications” by Kondragunta, Ding, and Shrestha

Hybrid Numerical Climate and Weather Prediction Models Combining Deterministic and Statistical Learning Model Components” by Krasnopolsky and Fox-Rabinovitz

New satellite data tools for precipitation analyses and forecasts” by Kusselson, Turk, Kidder, Forsythe, and Ebert

Creating spatio-temporal tornado probability forecasts using fuzzy logic and motion variability” by Lakshmanan, Ortega, and Smith

Trends in Tropical Rainfall Characteristics : Observations and Modeling” by Lau

Verifying High-Resolution Satellite Precipitation Estimates on Sub-Daily Scales: Results for Southern China” by Liang and Xie

Application of Microwave Radiometry to Improving Climate Data Records” by Liljegren and Cadeddu

Utilizing the statistical downscaling model to project weather extremes - a Canadian example” by Lines and Titus

Adaptive sampling with the Local Ensemble Transform Kalman Fitler (LETKF): implementation on a global model” by Liu and Kalnay

Evaluation of the WRF model for regional climate downscaling driven by CCSM3 at T85 resolution” by Lo and Yang

Experience and lessons learned regarding configuration and control of an advanced 4 dimensional variational satellite data assimilation system” by Longmore, Jones, Carheden, Vukicevic, and Vonder Haar

Improving Remotely Sensed Rainfall Estimates over Radar Gap Areas” by Mahani and Khanbilvardi

Sensitivity analysis of variability in reflectivity-rainfall relationships on runoff prediction” by Malakpet, Habib, Meselhe, and Tokay

The Multi-Radar Storm Cell Identification and Tracking (MR-SCIT) algorithm”by Manross, Sigler, Smith, Stumpf, and Ortega

Assessment of the Severe Weather Environment in North America Simulated by Global Climate Models” by Marsh, Brooks, and Karoly

The use of spectral processing to improve radar spectral moments” by Meymaris

Improved Accuracy in Measuring Precipitation with the NERON Network in New England” by Morgan, Essenberg, Crawford, and Fiebrich

Validation of satellite-based rainfall estimates for hurricanes” by Nourozi, Mahani, and Khanbilvardi

Orographic influences on the spatial scaling of heavy convective rainfall in mountainous regions and effects on streamflow prediction” by Nykanen

On thinning methods for data assimilation of satellite observations” by Ochotta, Gebhardt, Bondarenko, Saupe, and Wergen

Downscaled 1997/1998 Summer over East Asia using the Regional Spectral Model” by Park and Hong

Advanced Microwave Precipitation Radiometer (AMPR) signature of an inland flooding case in the Dominican Republic from Hurricane Georges (1998)” by Radley

Bias in climate models: a weather-scale approach to their understanding” by Rood

Wide band power and harmonic amplitude of precipitation” by Ruane and Roads

Spatial coherence of rainfall variations using the Oklahoma Mesonet” by Sturgis, McPherson, Richman, and Karoly

Rain Gauge Measurements in Mid-Atlantic Region” by Tokay, Bashor, and McDowell

Statistical downscaling of a specific weather pattern for rainfall forecast using techniques of artificial intelligence” by Valverde Ramírez

An intercomparison between mean areal precipitation from gauges and a multisensor procedure” by VanCleve and Fuelberg

Assessment of discontinuities due to joining precipitation observations in Canada” by Vincent and Mekis

Ensemble data assimilation with the NCEP Global Forecast System” by Whitaker

Downscaling climate and weather forecasts using reforecast analogs” by Whitaker and Hamill

Vertical structure of stratiform rain observed by profilers and the TRMM precipitation radar” by Williams and Gage

Atmospheric blocking and patterns of low-frequency variability arising from the breaking of upper level Rossby waves” by Woollings, Hoskins, and Blackburn

Linking weather and climate across time scales-A case study in Altay” by Wu, Zhang, and Li

Variational Doppler Radar Data Assimilation for the Weather Research and Forecasting Model” by Xiao, Sun, Lee, Lim, Gu, Sugimoto, Zhang, Guo, Barker, Huang, and Kuo

The model for the space time variability of radar rainfall fields” by Xu and Chandrasekar

Assessment of dynamic downscaling of the continental U.S. regional climate using the Eta/SSiB Regional Climate Model” by Xue, Vasic, Janjic, Mesinger, and Mitchell

 

3.     Possible Collaboration

The following researchers were interested in possible collaboration with RAINMAP:

Thomas L. Bell, (Thomas.L.Bell@nasa.gov), http://climate.gsfc.nasa.gov/~bell;
George J. Huffman, (Huffman@agnes.gsfc.nasa.gov);
Prasun Kundu, (Kundu@climate.gsfc.nasa.gov) http://climate.gsfc.nasa.gov/~kundu;
Ali Tokay, (Tokay@radar.gsfc.nasa.gov) http://atmospheres.gsfc.nasa.gov/meso/personnel/index.php?page=profile&pers_id=48;



[1] University of Leeds, Department of Statistics, Leeds, LS2 9JT, email: pdbaxt@maths.leeds.ac.uk,

Phone: 0113 343 5162.

 

 

 

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