Erin Robinson, Alan Pinkert June, 2010

Slides:



Advertisements
Similar presentations
QPF verification of the 4 model versions at 7 km res. (COSMO-I7, COSMO-7, COSMO-EU, COSMO-ME) with the 2 model versions at 2.8 km res. (COSMO- I2, COSMO-IT)
Advertisements

VERIFICATION Highligths by WG5. 9° General MeetingAthens September Working package/Task on “standardization” The “core” Continuous parameters: T2m,
Daily Precipitation Statistics: An Intercomparison between NCEP Reanalyses and Observations Vernon Kousky, Wayne Higgins & Viviane Silva 5 August 2011.
STN Carbon Field Blank Analysis, Derived Organic Carbon Analysis and IMPROVE blank corrected artifact analysis Bret Schichtel.
Time-Series Analysis and Forecasting – Part III
Diurnal Variability of Aerosols Observed by Ground-based Networks Qian Tan (USRA), Mian Chin (GSFC), Jack Summers (EPA), Tom Eck (GSFC), Hongbin Yu (UMD),
Stat 350 Lab Session GSI: Yizao Wang Section 016 Mon 2pm30-4pm MH 444-D Section 043 Wed 2pm30-4pm MH 444-B.
Consistency of recently observed trends over the Baltic Sea basin with climate change projections 7th Study Conference on BALTEX June 2013, Sweden.
 Similar picture from MODIS and MISR aerosol optical depth (AOD)  Both biomass and dust emissions in the Sahel during the winter season  Emissions.
Statistics for Managers Using Microsoft® Excel 5th Edition
TEMPLATE DESIGN © North African Dust Export: A Global 3-D Model Analysis Using MODIS, MISR, CALIPSO, and AERONET Observations.
European Geosciences Union General Assembly 2006 Vienna, Austria, 02 – 07 April 2006 Paper’s objectives: 1. Contribute to the validation of MODIS aerosol.
Transport of CO and O 3 into the UTLS Region Dave MacKenzie University of Toronto.
Principles of Sea Level Measurement Long-term tide gauge records  What is a tide station?  How is sea level measured relative to the land?  What types.
Pacific vs. Indian Ocean warming: How does it matter for global and regional climate change? Joseph J. Barsugli Sang-Ik Shin Prashant D. Sardeshmukh NOAA-CIRES.
Measurement of the Aerosol Optical Depth in Moscow city, Russia during the wildfire in summer 2010 DAMBAR AIR.
COSMO General Meeting – Moscow Sept 2010 Some results from operational verification in Italy Angela Celozzi - Federico Grazzini Massimo Milelli -
Ex 4f SEASONAL ADJUSTMENT.
Investigation of Decadal Changes in Aerosol and Asthma Sponsors: National Aeronautics and Space Administration (NASA) NASA Goddard Space Flight Center.
Introduction A new methodology is developed for integrating complementary ground-based data sources to provide consistent ozone vertical distribution time.
Constructing Climate Graphs
RESULTS AND CONCLUSIONS  Most of significant trends for N are negative for all thresholds and seasons. The largest number of significant negative trends.
Occurrence of TOMS V7 Level-2 Ozone Anomalies over Cloudy Areas Xiong Liu, 1 Mike Newchurch, 1,2 and Jae Kim 1,3 1. Department of Atmospheric Science,
Summer Institute in Earth Sciences 2009 Comparison of GEOS-5 Model to MPLNET Aerosol Data Bryon J. Baumstarck Departments of Physics, Computer Science,
The La Niña Influence on Central Alabama Rainfall Patterns.
The Centre for Australian Weather and Climate Research A partnership between CSIRO and the Bureau of Meteorology Red - ECMWF Green - Sintex Navy - POAMA-2.0.
3202 / 3200 / 3260 Climate Graphs WORLD GEOGRAPHY 3202 / 3200 / 3260 Climate Graphs Mr. Oliver H. Penney.
Können wir uns die nordeuropäischen Trends der letzten Jahrzehnte erklären? Hans von Storch and Armineh Barkhordarian Institute of Coastal Research, Helmholtz.
We carried out the QPF verification of the three model versions (COSMO-I7, COSMO-7, COSMO-EU) with the following specifications: From January 2006 till.
UFE 2003 Analysis June 1, UFE 2003 ANALYSIS Compiled by the Load Profiling Group ERCOT Energy Analysis & Aggregation June 1, 2005.
Long-term changes in frequencies of wind directions on the western coast of Estonia Jaak Jaagus Institute of Geography, University of Tartu Second International.
The latest results of verification over Poland Katarzyna Starosta Joanna Linkowska COSMO General Meeting, Cracow September 2008 Institute of Meteorology.
April 15, 2003 UFE 2002 ANALYSIS. April 15, 2003 LOAD AND UFE – ERCOT PEAK 2002 This is a graphic depiction of load and UFE on the ERCOT Peak Day for.
Figure (a-c). Latitude-height distribution of monthly mean ozone flux for the months of (a) January, (b) April and (c) July averaged over years 2000 to.
Determination of Tropical Pacific Cloud Structures using AQUA MODIS Data Presented By: Terry Kubar Advisors: Dennis Hartmann and Rob Wood.
May 03, UFE ANALYSIS Old – New Model Comparison Compiled by the Load Profiling Group ERCOT Energy Analysis & Aggregation May 03, 2007.
Regional Verification of CPC’s Seasonal Outlooks Michael Halpert & Kenneth Pelman Climate Prediction Center.
NASA Ocean Color Research Team Meeting, Silver Spring, Maryland 5-7 May 2014 II. Objectives Establish a high-quality long-term observational time series.
Evaluation of 2002 Annual 12km MM5 Surface Parameters for OTC Modeling Shan He and Gary Kleiman NESCAUM And Winston Hao NYDEC Review of Application and.
Ozone time series and trends Various groups compute trends in different ways. One goal of the workshop is to be able to compare time series and trends.
Characterization of Aerosol Data Quality from MODIS for Coastal Regions Jacob Anderson Mentor: Gregory Leptoukh.
Rong-Ming Hu and Randall Martin Inspiring Minds. Retrieval of Aerosol Single Scattering Albedo (SSA)  Determined with radiative transfer calculation.
Assessing the Influence of Decadal Climate Variability and Climate Change on Snowpacks in the Pacific Northwest JISAO/SMA Climate Impacts Group and the.
Intercomparison of Polar Cloud Climatology: APP-x, ERA-40, Ground-based Observations Xuanji Wang Cooperative Institute for Meteorological Satellite Studies.
An Observationally-Constrained Global Dust Aerosol Optical Depth (AOD) DAVID A. RIDLEY 1, COLETTE L. HEALD 1, JASPER F. KOK 2, CHUN ZHAO 3 1. CIVIL AND.
Is the lady dead, was she killed and by whom? Artwork: Michael Schrenk © von Storch, HZG.
AEROCOM AODs are systematically smaller than MODIS, with slightly larger/smaller differences in winter/summer. Aerosol optical properties are difficult.
Examining Fresh Water Flux over Global Oceans in the NCEP GDAS, CDAS, CDAS2, GFS, and CFS P. Xie 1), M. Chen 1), J.E. Janowiak 1), W. Wang 1), C. Huang.
Latest results in the precipitation verification over Northern Italy Elena Oberto, Marco Turco, Paolo Bertolotto (*) ARPA Piemonte, Torino, Italy.
Aerosol Pattern over Southern North America Tropospheric Aerosols: Science and Decisions in an International Community A NARSTO Technical Symposium on.
IGARSS 2011, Vancuver, Canada July 28, of 14 Chalmers University of Technology Monitoring Long Term Variability in the Atmospheric Water Vapor Content.
Teleconnection Patterns and Seasonal Climate Prediction over South America The Final Chapter??? Tércio Ambrizzi and Rosmeri P. da Rocha University of São.
Preliminary Analysis of Relative MODIS Terra-Aqua Calibration Over Solar Village and Railroad Valley Sites Using ASRVN A. Lyapustin, Y. Wang, X. Xiong,
Chapter 6: Present day ozone distribution and trends relevant to climate change A. Gaudel, O. R. Cooper, G. Ancellet, J. Cuesta, G. Dufour, F. Ebojie,
Variability of Arctic Cloudiness from Satellite and Surface Data Sets University of Washington Applied Physics Laboratory Polar Science Center Axel J.
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:
Consistency of recent climate change and expectation as depicted by scenarios over the Baltic Sea Catchment and the Mediterranean region Hans von Storch,
1) Global Coefficients: Derived from all available cloud-free ASTER scenes for a given network SURFRAD: 246 scenesUSCRN: 371 scenes 2) Day/Night-Specific.
Main Topic: Vertical Characterization of Aerosols Sub-topic: Tropospheric and Stratospheric Aerosol Erin Robinson, July5, 2010.
Moving from Empirical Estimation of Humidity to Observation: A Spatial and Temporal Evaluation of MTCLIM Assumptions Using Regional Networks Ruben Behnke.
Can recently observed precipitation trends over the Mediterranean area be explained by climate change projections? Armineh Barkhordarian1, Hans von Storch1,2.
Xiquan Dong, Baike Xi, Erica Dolinar, and Ryan Stanfield
NASA’s Ocean Color Online Visualization and Analysis System
NASA’s Ocean Color Online Visualization and Analysis System
Datasets, applications, plans
Estimating PM2.5 using MODIS and GOES aerosol optical depth retrievals in IDEA Hai Zhang , Raymond M. Hoff1 , Shobha Kondragunta2.
A Multi-angle Aerosol Optical Depth Retrieval Algorithm for GOES
Verification Overview
Effects of Temperature and Precipitation Variability on Snowpack Trends in the Western U.S. JISAO/SMA Climate Impacts Group and the Department of Civil.
Verification Overview
Presentation transcript:

Erin Robinson, Alan Pinkert June, 2010 Vertical Characterization of Aerosol over the U.S. - Aeronet, MODIS AOT Erin Robinson, Alan Pinkert June, 2010

Activities Begin comparing MODIS to Aeronet standard AOT Comparing trends in Aeronet station patterns along similar latitudes

Varied Cursor Box Size and Statistic (GSFC) .1 Deg x .1 deg .5 Deg x .5 deg 1 Deg x 1 deg Need to find MODIS cursor box size and statistical aggregation that most closely approximated Aeronet MODIS is a grid dataset and Aeronet is a point dataset. Chose to vary the cursor box from .1 deg x .1 deg (resolution of MODIS) to 2 deg x 2deg Varied statistical aggregation for 5th percentile, 60th percentile and 95th percentile.

Results: We saw that some sites had no correlation between MODIS and Aeronet. For the sites that did have correlation – we saw no major variation between .1 and 1 deg. Others who have done MODIS-Aeronet comparisons chose a .5 deg box Since we didn’t see any major variation, we chose a .5 deg box for our analysis.

Seasonal Comparison – Annual R2 (Blue low; Red ~1) Slope (yellow =1; Red > 1) Over the U.S. we looked at the correlation and slope for annual and seasonal comparison the Winter (DJF), Spring (MAM), Summer (JJA) and Fall (SON). Annual correlation smears the systematic differences that MODIS has during different seasons Compared the R2 value for how ‘repeatable’ the measurement was The slope of the scatter plot indicates how close the Modis measurement is to Aeronet standard overall Good correlation on East and NW MODIS approxmates most sites well (yellow paddles (slope = .8-1); Overestimates in west

Seasonal Comparison – Winter R2 (Blue low; Red ~1) Slope (yellow =1; Red > 1) Over the U.S. we looked at the correlation and slope for annual and seasonal comparison the Winter (DJF), Spring (MAM), Summer (JJA) and Fall (SON). Annual correlation smears the systematic differences that MODIS has during different seasons Low correlation at all sites MODIS approxmates most sites well (yellow paddles (slope = .8-1); Overestimates in west

Seasonal Comparison – Summer R2 (Blue low; Red ~1) Slope (yellow =1; Red > 1) Over the U.S. we looked at the correlation and slope for annual and seasonal comparison the Winter (DJF), Spring (MAM), Summer (JJA) and Fall (SON). Annual correlation smears the systematic differences that MODIS has during different seasons Good correlation on East and NW MODIS approxmates most sites well; Overestimates in west The Walker Branch site shows good correlation, but slope is underestimated – this could be a systematic error that could be fixed

Troposheric Aerosol Aerosol in the troposphere at a constant latitude has the same composition Looking at Aeronet cycle views over for sites in a similar latitude to determine if there are any consistent patters Patterns between multiple sites mean that the aerosol is likely in troposphere and not on the surface.

Southwest U.S. January to April Peak