Multiscale Variations of Decade-long Cloud Fractions from Six Different Platforms over the SGP: For decades, researchers have intensively studied observationally.

Slides:



Advertisements
Similar presentations
1 Evaluating climate model using observations of tropical radiation and water budgets Richard P. Allan, Mark A. Ringer Met Office, Hadley Centre for Climate.
Advertisements

12th EMS Annual Meeting & 9th European Conference on Applied Climatology (ECAC) Łódź, Poland, 10 – 14 September 2012 The estimation of cloudiness and incoming.
Evaluation of ECHAM5 General Circulation Model using ISCCP simulator Swati Gehlot & Johannes Quaas Max-Planck-Institut für Meteorologie Hamburg, Germany.
CO 2 in the middle troposphere Chang-Yu Ting 1, Mao-Chang Liang 1, Xun Jiang 2, and Yuk L. Yung 3 ¤ Abstract Measurements of CO 2 in the middle troposphere.
The Radiative Budget of an Atmospheric Column in Tropical Western Pacific Zheng Liu Department of Atmospheric Science University of Washington.
Anthropogenic Aerosol – A Cause Of The Weekend Effect? A significant weekly cycle has been found in diurnal temperature range (DTR). A candidate for causing.
Princeton University Global Evaluation of a MODIS based Evapotranspiration Product Eric Wood Hongbo Su Matthew McCabe.
Initial testing of longwave parameterizations for broken water cloud fields - accounting for transmission Ezra E. Takara and Robert G. Ellingson Department.
Pentad analysis of summer precipitation variability over the Southern Great Plains and its relationship with the land-surface Alfredo Ruiz–Barradas 1 and.
ARM Atmospheric Radiation Measurement Program. 2 Improve the performance of general circulation models (GCMs) used for climate research and prediction.
© Imperial College LondonPage 1 Quantifying the direct radiative effect of Saharan dust aerosol over north-west Africa and the tropical Atlantic Richard.
Interannual inversions with continuous data and recent inversions with the CSIRO CC model Rachel Law, CSIRO Atmospheric Research Another set of pseudodata.
Motivation Many GOES products are not directly used in NWP but may help in diagnosing problems in forecasted fields. One example is the GOES cloud classification.
Development and evaluation of Passive Microwave SWE retrieval equations for mountainous area Naoki Mizukami.
A43D-0138 Towards a New AVHRR High Cloud Climatology from PATMOS-x Andrew K Heidinger, Michael J Pavolonis, Aleksandar Jelenak* and William Straka III.
Advanced Baseline Imager (ABI) will be flown on the next generation of NOAA Geostationary Operational Environmental Satellite (GOES)-R platform. The sensor.
Clear sky Net Surface Radiative Fluxes over Rugged Terrain from Satellite Measurements Tianxing Wang Guangjian Yan
Initial Trends in Cloud Amount from the AVHRR Pathfinder Atmospheres Extended (PATMOS-x) Data Set Andrew K Heidinger, Michael J Pavolonis**, Aleksandar.
1 of 26 Characterization of Atmospheric Aerosols using Integrated Multi-Sensor Earth Observations Presented by Ratish Menon (Roll Number ) PhD.
Assessment of the Usefulness of Atmospheric Satellite Sounder-Based Cloud Retrievals for Climate Studies Gyula I. Molnar Joel.
Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:
1 Directional Difference of Satellite Land Surface Temperature Yunyue Yu NOAA/NESDIS/STAR.
The diurnal cycle in GERB data Analysis of the diurnal cycle of outgoing longwave radiation (OLR) One month of GERB top of atmosphere OLR flux data from.
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.
2005 ARM Science Team Meeting, March 14-18, Daytona Beach, Florida Canada Centre for Remote Sensing - Centre canadien de télédétection Geomatics Canada.
Andrew Heidinger and Michael Pavolonis
Thomas R. Karl Director, National Climatic Data Center, NOAA Editor, Journal of Climate, Climatic Change & IPCC Climate Monitoring Panel Paul D. Try, Moderator.
The Lake Biwa Project The field observation has been carried out under the Japanese hydro- meteorological project called "Lake Biwa Project". A core activity.
 We also investigated the vertical cross section of the vertical pressure velocity (dP/dt) across 70°W to 10°E averaged over 20°S-5°S from December to.
Shaocheng Xie, Renata McCoy, and Stephen Klein Lawrence Livermore National Laboratory Statistical Characteristics of Clouds Observed at the ARM SGP, NSA,
Ship-Image map derived from a Terra MODIS image from October 20, 2003 (01:35 UT acquisition time), showing the course of the ARISE cruise (red line) between.
ICDC7, Boulder September 2005 Estimation of atmospheric CO 2 from AIRS infrared satellite radiances in the ECMWF data assimilation system Richard.
Diurnal Water and Energy Cycles over the Continental United States from three Reanalyses Alex Ruane John Roads Scripps Institution of Oceanography / UCSD.
Hongxu Zhao and Richard Fernandes
Intercomparison of Polar Cloud Climatology: APP-x, ERA-40, Ground-based Observations Xuanji Wang Cooperative Institute for Meteorological Satellite Studies.
Point Comparison in the Arctic (Barrow N, 156.6W ) Part I - Assessing Satellite (and surface) Capabilities for Determining Cloud Fraction, Cloud.
Activities at GKSS related to D&A problems Hans von Storch Institute for Coastal Research GKSS Research Centre Geesthacht, Germany INTERESTED IN WIND OVER.
Evidence in ISCCP for regional patterns of cloud response to climate change Joel Norris Scripps Institution of Oceanography ISCCP at 30 Workshop City College.
Evaluation of cloudy convective boundary layer forecast by ARPEGE and IFS Comparisons with observations from Cabauw, Chilbolton, and Palaiseau  Comparisons.
CLIMATE GRAPHS. Temp In °C Precipitation In mm OTTAWA LABELS! CITY AT TOP TEMPERATURE ON LEFT IN °C PRECIPITATION ON RIGHT MONTHS ACROSS THE BOTTOM.
Consistent Earth System Data Records for Climate Research: Focus on Shortwave and Longwave Radiative Fluxes Rachel T. Pinker, Yingtao Ma and Eric Nussbaumer.
MODIS Atmosphere Products: The Importance of Record Quality and Length in Quantifying Trends and Correlations S. Platnick 1, N. Amarasinghe 1,2, P. Hubanks.
TS 15 The Great Salt Lake System ASLO 2005 Aquatic Sciences Meeting Climatology and Variability of Satellite-derived Temperature of the Great Salt Lake.
SCM x330 Ocean Discovery through Technology Area F GE.
NASA Langley Research Center / Atmospheric Sciences CERES Instantaneous Clear-sky and Monthly Averaged Radiance and Flux Product Overview David Young NASA.
Great Barrier Reef Report Card 2015 – Burdekin: Ground Cover
From: Statistics for optimal point prediction in natural images
Diagnosing and quantifying uncertainties of
John Braun and Chris Rocken
DETERMINATION OF PHOTOSYNTHETICALLY ACTIVE RADIATION
Variability of CO2 From Satellite Retrievals and Model Simulations
Chi-Square - Goodness of Fit
Observed and Simulated Decadal Variability in Clouds and Water Vapour Richard Allan, Tony Slingo Environmental Systems Science Centre, University of Reading.
Variability of CO2 From Satellite Retrievals and Model Simulations
+ = Climate Responses to Biomass Burning Aerosols over South Africa
Fractions 1/2 1/8 1/3 6/8 3/4.
Generation of Cloud Products from NOAA’s Operational Satellite Imagers
Sergei Gepshtein, Martin S. Banks  Current Biology 
A Role for the Superior Colliculus in Decision Criteria
What Color is it?.
Application of Stochastic Techniques to the ARM Cloud-Radiation Parameterization Problem Dana Veron, Jaclyn Secora, Mike Foster, Christopher Weaver, and.
Hippocampal “Time Cells”: Time versus Path Integration
Experimental and Computational Studies Investigating Trehalose Protection of HepG2 Cells from Palmitate-Induced Toxicity  Sukit Leekumjorn, Yifei Wu,
A vast 4,000-year-old spatial pattern of termite mounds
Volume 88, Issue 3, Pages (November 2015)
BOLD fMRI Correlation Reflects Frequency-Specific Neuronal Correlation
Juan Guan, Harrison Liu, Xiaoyu Shi, Siyu Feng, Bo Huang 
Small Angle X-Ray Scattering Studies and Modeling of Eudistylia vancouverii Chlorocruorin and Macrobdella decora Hemoglobin  Angelika Krebs, Helmut Durchschlag,
Quantification of Fluorophore Copy Number from Intrinsic Fluctuations during Fluorescence Photobleaching  Chitra R. Nayak, Andrew D. Rutenberg  Biophysical.
Fig. 3 Global and basin-averaged sampling error compared with reconstructed temperature change. Global and basin-averaged sampling error compared with.
Presentation transcript:

Multiscale Variations of Decade-long Cloud Fractions from Six Different Platforms over the SGP: For decades, researchers have intensively studied observationally based cloud fraction estimates to better understand current climate change and predict future climate variability, and use cloud fraction measurements to evaluate climate models. In this study, observationally based cloud fraction estimates from six different platforms (three ground-based estimates and three satellite-based estimates) are compared. The comparisons are performed at multiple temporal and spatial scales using data collected at the Southern Great Plains site between 1997 and The results show that mean cloud fractions from the Active Remote Sensing of CLouds (ARSCL) and International Satellite Cloud Climatology Project (ISCCP) are significantly larger than estimates derived using the other four methods. However, more high clouds are likely a reason for larger ARSCL cloud fractions, and more low clouds are likely a reason for larger ISCCP cloud fractions. Three estimates (ISCCP, ARSCL, and Geostationary Operational Environmental Satellite [GOES]) exhibited an overall increase of in the annually averaged cloud fractions from 1998 to However, estimates from the Total Sky Imager (TSI), Radiative Flux Analysis (RFA), and Pathfinder Atmospheres Extended (PATMOS) showed no significant tendency for increased cloudiness during the same time period. Monthly cloud fractions from all the estimates exhibit quasi-Gaussian frequency distributions, while the distributions of daily cloud fractions are found to be dependent on spatial scales. Cloud fractions from all the estimates show much larger seasonal variations than diurnal variations. Findings from this study suggest caution when using observationally based cloud fraction estimates for climate studies such as evaluating model performance and reinforce the need of consistency in defining and retrieving cloud fractions. Reference: Wu W, Y Liu, MP Jensen, T Toto, MJ Foster, and CN Long "A comparison of multiscale variations of decade-long cloud fractions from six different platforms over the Southern Great Plains in the United States." Journal of Geophysical Research – Atmospheres, doi: /2013JD Contact: Dorothy Koch, SC23.1,

Figure 1 The geographic locations and grid sizes of the cloud fraction estimates. The gray solid box represents the Southern Great Plains Central Facility. The boxes outlined by colored dashed lines represent spatial scales at: 1) 0.5°, latitude/longitude (cyan, for GOES); 2) 1°, latitude/longitude (red, for GOES and PATMOS-x); 3) 2.5°, equal area (orange, for ISCCP D1); 4) 3°, latitude/longitude (green, for GOES and PATMOS-x); and 5) 5°, latitude/longitude (blue, for GOES, PATMOS-x, ISCCP D1, and ISCCP D2). Figure 2 The mean diurnal (a-d), annual (e-h) and interannual (i-l) cloud fractions. Colors and lines: 1) cyan: ARSCL; 2) green: TSI; 3) blue: 160° field of view RFA; 4) red: solid, dashed, dotted, and dash-dotted: GOES over 0.5°, 1°, 3°, and 5° latitude/longitude; 5) black solid, dashed, and dotted: PATMOS-x over 1°, 3°, and 5° latitude/longitude; 6) the brown solid, dashed, and dotted: 2.5° equal-area ISCCP D1, 5° latitude/longitude ISCCP D1, and 5° latitude/longitude ISCCP D2. Black triangle, circle, and square: means from 1°, 3°, and 5° PATMOS-x.