Super Greenhouse Effect Detection from Aqua instruments Dan Feldman Notes for DC Trip 10/16/05.

Slides:

Advertisements

Similar presentations

Causal Loop Diagrams. Exponential growth of a bank account. The two positive connections between Bank balance and interest added for a positive feedback.

Advertisements

© University of Reading Richard Allan Department of Meteorology, University of Reading Thanks to: Jim Haywood and Malcolm.

IPCC Workshop on Climate Sensitivity, Paris, July 2004 Exploiting observations of water vapour to investigate simulations of water vapour feedback processes.

Lecture 8 Climate Feedback Processes GEU Forcing, Response, and Sensitivity Consider a climate forcing (e.g., a change in TOA net radiation balance,

Recent Evidence for Reduced Climate Sensitivity Roy W. Spencer, Ph.D Principal Research Scientist The University of Alabama In Huntsville March 4, 2008.

Allison Parker Remote Sensing of the Oceans and Atmosphere.

Earth Radiation Budget Studies over the tropical monsoon region using satellite data P. C. Joshi Meteorology and Oceanography Group Space Applications.

Study of the Atmosphere Meteorology. Atmosphere  Layers of gasses/tiny particles that surround Earth.

TRMM Tropical Rainfall Measurement (Mission). Why TRMM? n Tropical Rainfall Measuring Mission (TRMM) is a joint US-Japan study initiated in 1997 to study.

Chapter 17 Study Guide Answers

KYLE PETROSKY PHYSICS MAJOR Effect of Deep Convection on the Regulation of Tropical Sea Surface Temperature By John M. Wallace (1992) Formation and Limiting.

Climate Forcing and Physical Climate Responses Theory of Climate Climate Change (continued)

The Radiative Budget of an Atmospheric Column in Tropical Western Pacific Zheng Liu Department of Atmospheric Science University of Washington.

Clouds and Climate: Cloud Response to Climate Change ENVI3410 : Lecture 11 Ken Carslaw Lecture 5 of a series of 5 on clouds and climate Properties and.

The “Afternoon” constellation of satellites make near simultaneous measurements to better understand important parameters related to climate change.

Cpt.UCLA Our work is motivated by two observations ‣ our understanding of cloud feedbacks is zonally symmetric. ‣ all pbl parameterizations strive to well.

Testing the Super-Greenhouse Thermostat with EOS observations Dan Feldman YLY Sunday meeting 10/30/05.

A FIRST look at the Far Infrared Dan Feldman Yuk Yung IR Meeting May 9, 2007.

The Radiative Budget of an Atmospheric Column in Tropical Western Pacific Zheng Liu 1 Thomas Ackerman 1,2, Sally McFarlane 2, Jim Mather 2, University.

Recommendations for Exam 1 In the list of topics that follows you should be able to discuss and explain the ideas. A simple numerical or yes/no answer.

Forcing the Climate. Climate Forcing Radiative Forcing Non-Radiative Forcing Change in the Earth’s energy balance.

Handout (yellow) Solar Energy and the Atmosphere Standard 3 Objective 1 Indicators a, b, and c Standard 3 Objectives 1, 2, and 3 Workbook Pages 3,

MLS Cloud Forcing: IWC validation & Cloud Feedback Determination MLS Science Team Teleconference: June 8, 2006 Dan Feldman Jonathan Jiang Hui Su Yuk Yung.

MLS Cloud Forcing: IWC validation & Cloud Feedback Determination MLS Science Team Teleconference: June 15, 2006 Dan Feldman Jonathan Jiang Hui Su Yuk Yung.

1 Impact of Air Pollution on the South Asian Monsoon A Paper Review Siv Balachandran 04/26/07.

Profiling Clouds with Satellite Imager Data and Potential Applications William L. Smith Jr. 1, Douglas A. Spangenberg 2, Cecilia Fleeger 2, Patrick Minnis.

People Fractions. Problem 1 of 20 Answer 1 = 10 Problem 2 of 20 Answer 2 = 5.

Atmosphere Structure & Compostion

Retrieval of snow physical parameters with consideration of underlying vegetation Teruo Aoki (Meteorological Research Institute), Masahiro Hori (JAXA/EORC)

Processes responsible for polar amplification of climate change Peter L. LangenCentre for Ice and Climate Niels Bohr InstituteUniversity of Copenhagen.

HEAT TRANSFER & The NATURAL GREENHOUSE EFFECT. TRAPPING HEAT  A “ greenhouse ” is any structure that is designed to take in the sun’s energy and trap.

Add To Table of Contents:

Lecture 6 Observational network Direct measurements (in situ= in place) Indirect measurements, remote sensing Application of satellite observations to.

Radiation Group 3: Manabe and Wetherald (1975) and Trenberth and Fasullo (2009) – What is the energy balance of the climate system? How is it altered by.

S5P tropospheric ozone product: Convective Cloud Differential method First German S5P Verification Meeting Bremen, November 2013 Pieter Valks DLR,

GATOR Team Meeting Alex Bryan 30 July Outline Methodology to recent work 5 August 2007: Bouncing balloon case –MODIS Cloud Product –Meteorological.

Chapter 3 Atmospheric Energy and Global Temperatures.

JCSDA Summer Colloquium Erica Dolinar 4 August 2015.

Gathering Weather Data pg. 79. Surface Data Instruments thermometer- filled with mercury or alcohol; expands when heated barometer- measures air pressure;

Starter 1.What are hurricanes in the Western Pacific called? 2.What are hurricanes in the Indian Ocean called?

Observations and Parameterization of Boundary Layer Structures and Clouds at the ARM TWP Nauru Site Bruce Albrecht, Virendra Ghate, and Dan Voss 1 Pavlos.

Determination of Tropical Pacific Cloud Structures using AQUA MODIS Data Presented By: Terry Kubar Advisors: Dennis Hartmann and Rob Wood.

The Relation Between SST, Clouds, Precipitation and Wave Structures Across the Equatorial Pacific Anita D. Rapp and Chris Kummerow 14 July 2008 AMSR Science.

1 Hadley Centre Using Earth radiation budget data for climate model evaluation Mark Ringer Hadley Centre, Met Office, UK GIST 19: Aug 27-29, 2003.

Water Vapour & Cloud from Satellite and the Earth's Radiation Balance

PDFS of Upper Tropospheric Humidity Darryn Waugh, Ju-Mee Ryoo, Tak Igusa Johns Hopkins University.

Heat Transfer in the Atmosphere Essential Question: How is heat transferred in the atmosphere?

Cloud Mask: Results, Frequency, Bit Mapping, and Validation UW Cloud Mask Working Group.

Chapter 3 Atmospheric Energy and Global Temperatures

Theme 9 – The Greenhouse Effect ASTR 101 Prof. Dave Hanes.

Chapter 22 Section 2 Handout

© Imperial College LondonPage 1 Inter-comparisons of monthly mean (and monthly time-step mean) GERB clear sky fluxes Joanna Futyan, Richard Allan and Jacqui.

Generation of TOA Radiative Fluxes from the GERB Instrument Data. Part II: First Results Nicolas Clerbaux and GERB team Royal Meteorological Institute.

NASA's Aura satellite launched July, 15, 2004 from Vandenberg Air Force Base, Calif Orbit: Polar: 705 km, sun-synchronous, 98' inclination, ascending.

Using GERB and CERES data to evaluate NWP and Climate models over the Africa/Atlantic region Richard Allan, Tony Slingo, Ali Bharmal Environmental Systems.

Lorraine Remer, Yoram Kaufman, Didier Tanré Shana Mattoo, Richard Kleidman, Robert Levy Vanderlei Martins, Allen Chu, Charles Ichoku, Rong-Rong Li, Ilan.

Status of CAM, March 2004 Phil Rasch. Differences between CAM2 and CAM3 (standard physics version) Separate liquid and ice phases Advection, sedimentation.

Chapter 17 Study Guide Answers

ECMWF/EUMETSAT NWP-SAF Satellite data assimilation Training Course

Heat in the Atmosphere.

Stratocumulus cloud thickening beneath layers of absorbing smoke aerosol – Wilcox, 2010 The semi-direct aerosol effect: Impact of absorbing aerosols.

R2971 Seq0100 Scn003 Hohenpeissenberg (48N, 11W)

Solar Energy and the Atmosphere

QUIZ 3 #1. What does this represent? Incoming shortwave

The Atmosphere Atmosphere Composition - 76% Nitrogen - 23% Oxygen

Earth’s Energy Budget.

Compare and Contrast of cloud base height data

Weather Analysis.

Energy Flow On Earth.

Presentation transcript:

Super Greenhouse Effect Detection from Aqua instruments Dan Feldman Notes for DC Trip 10/16/05

Clear-sky greenhouse parameter g increases linearly with SST for SST<298K g increases at a much faster rate for SST>298 K –From Ravel and Ramanathan (1989) using ERBE data

g is sensitive to upper tropospheric H 2 O MLS (aboard AURA) sensitive to ice-water content and UT H 2 O g vs. SST similar for AIRS and MLS Super greenhouse effect visible from both instruments What about convection?

Radiative forcing due to SST>298K Do SSTs >298K contribute to increased cloud cover and/or cloud reflectivity to counteract conventional definition of super greenhouse effect? Answer may lie with AIRS and CERES data –AIRS: UT H 2 O, cloud fraction, SST –CERES: Albedo 0.3 um to 5 um

Analysis period: 08/ /2005 AIRS UT H 2 O product agrees well with MLS and radiosondes at ARM TWP site (Nauru) SSTs in western Pacific ~300 K AIRS cloud fraction well-correlated to SST >298 K Low UT H 2 O correlated with low albedo as measured by CERES. The converse statement is not as well supported by the data.

AIRS vs. TWP radiosondes

AIRS SST Product

AIRS UT H 2 O

AIRS Cloud Fraction

AQUA CERES Albedo