Template WRF Evaluation Against Observations in Louisiana Chris Emery ENVIRON International Corporation, Novato CA November 14, 2012.

Slides:



Advertisements
Similar presentations
Slide 1ECMWF forecast User Meeting -- Reading, June 2006 Verification of weather parameters Anna Ghelli, ECMWF.
Advertisements

Slide 1ECMWF forecast products users meeting – Reading, June 2005 Verification of weather parameters Anna Ghelli, ECMWF.
2002 MM5 Model Evaluation 12 vs. 36 km Results Chris Emery, Yiqin Jia, Sue Kemball-Cook, and Ralph Morris ENVIRON International Corporation Zion Wang UCR.
Analysis of nitrate in the Columbia Basin Ranil Dhammapala WA Dept of Ecology.
Dynamical Downscaling of CCSM Using WRF Yang Gao 1, Joshua S. Fu 1, Yun-Fat Lam 1, John Drake 1, Kate Evans 2 1 University of Tennessee, USA 2 Oak Ridge.
Template Photochemical Modeling of Louisiana for the 2008 Ozone Standard Chris Emery ENVIRON International Corporation, Novato CA November 14, 2012.
Reliability Trends of the Global Forecast System Model Output Statistical Guidance in the Northeastern U.S. A Statistical Analysis with Operational Forecasting.
Hector simulation We found simulation largely depending on: Model initialization scheme Lateral boundary conditions Physical processes represented in the.
Transitioning unique NASA data and research technologies to the NWS 1 Evaluation of WRF Using High-Resolution Soil Initial Conditions from the NASA Land.
Timed. Transects Statistics indicate that overall species Richness varies only as a function of method and that there is no difference between sites.
Evaluating the Influence of Precipitation, Temperature, and Soil Moisture on Upper Colorado River Basin Streamflow and Drought Connie Woodhouse, University.
Three-State Air Quality Study (3SAQS) Three-State Data Warehouse (3SDW) 2011 WRF Modeling Model Performance Evaluation University of North Carolina (UNC-IE)
C82MCP Diploma Statistics School of Psychology University of Nottingham 1 Linear Regression and Linear Prediction Predicting the score on one variable.
Chapter 12, Part 1 STA 200 Summer I Measures of Center and Spread Measures of Center: – median – mean Measures of Spread: – quartiles & five number.
1 1 Slide Simple Linear Regression Chapter 14 BA 303 – Spring 2011.
Model Evaluation with Satellite Data: NO 2, HCHO, and Beyond Monica Harkey Tracey Holloway Alex Cohan Rob Kaleel.
CRFS November 20, JUL-SEP PRECIPITATION Good monsoon - except San Juan… September 2014 not quite as wet as 2013, but close! Precipitation above.
Does ozone model performance vary as a function of synoptic meteorological type? Pat Dolwick, Christian Hogrefe, Mark Evangelista, Chris Misenis, Sharon.
What is El Nino and will it end our drought?. What has caused the drought? We have been experiencing drought conditions since September, We've also.
Presentation of Wind Data  The wind energy that is available at a specific site is usually presented on an annual basis.  There are several methods by.
Georgia Automated Environmental Monitoring Network (AEMN) Established in 1991 Housed on UGA Griffin Campus in Department of Crop and Soil Sciences, College.
V:\corporate\marketing\overview.ppt CRGAQS: Meteorological Modeling Presentation to the SWCAA By ENVIRON International Corporation Alpine Geophysics, LLC.
2.4: Cautions about Regression and Correlation. Cautions: Regression & Correlation Correlation measures only linear association. Extrapolation often produces.
ESTIMATING WOODY BROWSE ABUNDANCE IN REGENERATING CLEARCUTS USING AERIAL IMAGERY Shawn M. Crimmins, Alison R. Mynsberge, Timothy A. Warner.
Ensemble products (at 12 hour intervals from 00 hr to 144 hrs): Africa Desk GFS Ensemble Web Page Spaghetti plots 500mb height (5500 and 5670, 5700 and.
A NEW STANDARD IN METEOROLOGICAL MONITORING SYSTEMS INSTALLED AT THE PERRY NUCLEAR POWER PLANT Jim Holian (SAIC) and Jamie Balstad (First Energy Corp)
Template Improving Sources of Stratospheric Ozone and NOy and Evaluating Upper Level Transport in CAMx Chris Emery, Sue Kemball-Cook, Jaegun Jung, Jeremiah.
1 Using Hemispheric-CMAQ to Provide Initial and Boundary Conditions for Regional Modeling Joshua S. Fu 1, Xinyi Dong 1, Kan Huang 1, and Carey Jang 2 1.
The South American Monsoon System: Recent Evolution and Current Status Update prepared by Climate Prediction Center / NCEP 1 October 2012 For more information,
Modeling Overview For Barrio Logan Community Health Neighborhood Assessment Program Andrew Ranzieri Vlad Isakov Tony Servin Shuming Du October 10, 2001.
SEASONAL COMMON PLOT SCORES A DRIANO R ASPANTI P ERFORMANCE DIAGRAM BY M.S T ESINI Sibiu - Cosmo General Meeting 2-5 September 2013.
Regression using lm lmRegression.R Basics Prediction World Bank CO2 Data.
10/28/2014 Xiangshang Li, Yunsoo Choi, Beata Czader Earth and Atmospheric Sciences University of Houston The impact of the observational meteorological.
Meteorological Data Analysis Urban, Regional Modeling and Analysis Section Division of Air Resources New York State Department of Environmental Conservation.
Techniques for Evaluating Wildfire Smoke Impact on Ozone for Possible Exceptional Events Daniel Alrick 1, Clinton MacDonald 1, Brigette Tollstrup 2, Charles.
How well can we model air pollution meteorology in the Houston area? Wayne Angevine CIRES / NOAA ESRL Mark Zagar Met. Office of Slovenia Jerome Brioude,
1 1 Slide Simple Linear Regression Estimation and Residuals Chapter 14 BA 303 – Spring 2011.
On the uncertainty in the AEP estimates for wind farms in cold climate Winterwind, Östersund, Øyvind Byrkjedal Kjeller Vindteknikk
Cost Behavior and Cost- Volume-Profit Analysis Student Version.
INTERCOMPARISON – HIRLAM vs. ARPA-SIM CARPE DIEM AREA 1 Per Kållberg Magnus Lindskog.
Statistical Summary ATM 305 – 12 November Review of Primary Statistics Mean Median Mode x i - scalar quantity N - number of observations Value at.
Chapter 10: Determining How Costs Behave 1 Horngren 13e.
Georgia Institute of Technology Comprehensive evaluation on air quality forecasting ability of Hi-Res in southeastern United States Yongtao Hu 1, M. Talat.
Montserrat Fuentes Statistics Department NCSU Research directions in climate change SAMSI workshop, September 14, 2009.
Microclimates Fieldwork Revision of fieldwork techniques.
Wake Influences on Power Wind Speed, Wind Direction, Stability.
Satellite Forecasting Weather Forecasting. du/satmet/modules/7_we ather_forecast/wf-1.html.
Comparison of Models for Analyzing Seasonal Activity using Longitudinal Count Data Daniel J. Hocking and Kimberly J. Babbitt University of New Hampshire.
1 European Topic Centre on Air and Climate Change Air pollution by ozone in Europe in summer 2005 Preliminary results Libor Cernikovsky 10th EIONET Workshop.
Displaying the Observed Distribution of Quantitative Variables Histogram –Divide the range of the variable into equally spaced intervals - called bins.
LOAD FORECASTING. - ELECTRICAL LOAD FORECASTING IS THE ESTIMATION FOR FUTURE LOAD BY AN INDUSTRY OR UTILITY COMPANY - IT HAS MANY APPLICATIONS INCLUDING.
Preliminary Analysis by: Fawn Hornsby 1, Charles Rogers 2, & Sarah Thornton 3 1,3 North Carolina State University 2 University of Texas at El Paso Client:
Forecasting Weather. What is it ?? Technology Meteorologists need to measure various atmospheric conditions : air pressure, humidity, precipitation,
Graphs SPI Make conjectures & predictions based on data
Figures from “The ECMWF Ensemble Prediction System”
BUS 308 Week 4 Quiz Check this A+ tutorial guideline at 1. With reference to problem 1, what.
Section 11.1 Day 3.
Stephen Reid, Hilary Hafner, Yuan Du Sonoma Technology, Inc.
Weather Data Summary.
Click to edit Master title style
Cautions about Correlation and Regression
C. Nolte, T. Spero, P. Dolwick, B. Henderson, R. Pinder
Forecasting Weather.
SCIENCE GRADE FOUR – WEATHER
Solubility Curves.
Impact of GOES Enhanced WRF Fields on Air Quality Model Performance
Wind Energy Potential in Europe: 2020 – 2030
WRAP 2014 Regional Modeling
Presentation transcript:

Template WRF Evaluation Against Observations in Louisiana Chris Emery ENVIRON International Corporation, Novato CA November 14, 2012

Sites in the Evaluation 2

Wind Speed at Northern Sites 3

Wind Speed at Southern Sites 4

Goal Plots for Windspeed 5

Wind Direction at Northern Sites 6

Wind Direction at Southern Sites 7

Goal Plots for Wind Direction/Speed 8

Temperature at Northern Sites 9

Temperature at Southern Sites 10

Goal Plots for Temperature 11

24-hour Precipitation on Exceedance Days 12

24-hour Precipitation on Exceedance Days 13

Summary Southern LA –September: performance was very good for all three variables –October: daytime wind speed and temperatures were slightly under predicted  Could lead to excessive stagnation and higher ozone Northern LA –Performance was slightly but consistently worse –Daytime wind speeds and temperatures were also under estimated Overall –Wind were markedly better than usually achieved in other WRF applications across the country –Temperature performance was on par with other applications –Precipitation performance was quite good  Did not exhibit the usually high degree of over prediction 14

Extra Slides 15

Regression Analysis for Windspeed 16

Regression Analysis for Wind Direction 17

Regression Analysis for Temperature 18