MODIS Observed Surface and Atmosphere Characters over Tibetan Plateau Menglin Jin, PhD.

Slides:

Advertisements

Similar presentations

Feedback effects When the Earth warms up, a large number of changes take place in the atmosphere, the oceans, and the land surface. Some of these changes.

Advertisements

Upgrades to the MODIS near-IR Water Vapor Algorithm and Cirrus Reflectance Algorithm For Collection 6 Bo-Cai Gao & Rong-Rong Li Remote Sensing Division,

Satellite Observations of Enhanced Pre- Monsoon Aerosol Loading and Tropospheric Warming over the Gangetic-Himalayan Region Ritesh Gautam 1, N. Christina.

Toshio Koike, CEOP Lead Scientist The University of Tokyo GEO HP: Global Earth Observation System of Systems (GEOSS) and the.

Mars’ North and South Polar Hood Clouds Jennifer L. Benson Jet Propulsion Laboratory, California Institute of Technology July 22, 2010 Copyright 2010 California.

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

1 An initial CALIPSO cloud climatology ISCCP Anniversary, July 2008, New York Dave Winker NASA LaRC.

Introduction Metr280: Independent Study on Satellite Meteorology/Climatology Professor Menglin Jin.

Semi-direct effect of biomass burning on cloud and rainfall over Amazon Yan Zhang, Hongbin Yu, Rong Fu & Robert E. Dickinson School of Earth & Atmospheric.

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

Menglin Jin Department of Atmospheric & Oceanic Science University of Maryland, College park Observed Land Impacts on Clouds, Water Vapor, and Rainfall.

METR155: Cloud, Aerosol, and Land Surface Monitoring from MAS/MODIS Prof. Menglin Jin San Jose State University.

Menglin Jin Department of Meteorology, San Jośe State University The Use of Satellite Observation.

Atmospheric structure from lidar and radar Jens Bösenberg 1.Motivation 2.Layer structure 3.Water vapour profiling 4.Turbulence structure 5.Cloud profiling.

Observations of Our Changing Planet: Weather EXTREMES Professor Menglin Jin METR112: Global Climate Change.

Detect and Simulate Vegetation, Surface Temperature, Rainfall and Aerosol Changes: From Global to Local Examples from EOS MODIS remote sensing Examples.

The spatial distribution of NDVI and total column water vapor (Fig. 1) further proves that vegetation is closely related to water vapor. Figure 1 is the.

Observations of Our Changing Planet: Weather EXTREMES Professor Menglin Jin METR112: Global Climate Change.

Observations of Our Changing Planet: Weather EXTREMES Professor Menglin Jin METR112: Global Climate Change.

Simulate Urban-induced Climate Change Via EOS Observations and Land Surface Model Dr. Menglin Jin, Meteorology Dept, U University of Maryland, College.

Research Capabilities of Giovanni: The Past and the Near-Future James Acker NASA Goddard Earth Sciences Data and Information Services Center MODIS Science.

Reflected Solar Radiative Kernels And Applications Zhonghai Jin Constantine Loukachine Bruce Wielicki Xu Liu SSAI, Inc. / NASA Langley research Center.

Monitoring Extreme Rain Events using Giovanni Amita Mehta and Ana Prados NASA-UMBC Joint Center for Earth Systems Technology (JCET)

Lesson: Observing Monsoon Weather Patterns with TRMM Data

Using My NASA Data to Explore Earth Systems Lynne H. Hehr John G. Hehr University of Arkansas Department of Geosciences And Center for Math and Science.

Observational Needs for Testing Global Model Parameterizations Andrew Gettelman, NCAR Thanks to: J. Kiehl, W. Collins, P. Rasch.

Applications and Limitations of Satellite Data Professor Ming-Dah Chou January 3, 2005 Department of Atmospheric Sciences National Taiwan University.

METR202- Study Urban Climate System Using Satellite Remote Sensing and Climate Model Professor Menglin Jin San Jose State University Outline: Key Urban.

ASSESSMENT OF ALBEDO CHANGES AND THEIR DRIVING FACTORS OVER THE QINGHAI-TIBETAN PLATEAU B. Zhang, L. Lei, Hao Zhang, L. Zhang and Z. Zen WE4.T Geology.

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.

1 CERES Results Norman Loeb and the CERES Science Team NASA Langley Research Center, Hampton, VA Reception NASA GSFC, Greenbelt, MD.

Introduction to NASA Water Products Rain, Snow, Soil Moisture, Ground Water, Evapotranspiration NASA Remote Sensing Training Norman, Oklahoma, June 19-20,

Joaquim I. Goes and Helga Gomes Bigelow Laboratory for Ocean Sciences Increasing productivity in the Arabian Sea linked to shrinking snow caps – How satellites.

Paper 1: UHI from Beijing Jin, S. M. 2012: Developing an Index to Measure Urban Heat Island Effect Using Satellite Land Skin Temperature and Land Cover.

Modern Era Retrospective-analysis for Research and Applications: Introduction to NASA’s Modern Era Retrospective-analysis for Research and Applications:

Terra Launched December 18, 1999

Promoting Satellite Applications in the TPE Water and Energy Cycle Studies: Chance and Challenge Kun Yang Institute of Tibetan Plateau Research Chinese.

NASA Snow and Ice Products NASA Remote Sensing Training Geo Latin America and Caribbean Water Cycle capacity Building Workshop Colombia, November 28-December.

Global Warming and Water Resources. Frequently asked Questions Is global warming occurring? Why does global warming occur? How do we predict global warming?

Assessing the Phenological Suitability of Global Landsat Data Sets for Forest Change Analysis The Global Land Cover Facility What does.

Satellite-based Land-Atmosphere Coupled Data Assimilation Toshio Koike Earth Observation Data Integration & Fusion Research Initiative (EDITORIA) Department.

Climate Change Overview – Pieces of the Argument.

Introduction to NASA Water Products NASA Remote Sensing Training Norman, Oklahoma June 19-20, 2012 ARSET Applied Remote SEnsing Training A project of NASA.

Satellite Image Basics  Visible: Senses reflected solar (lunar) radiation Visible –Cloud thickness, texture; not useful at night  Infrared (IR): Senses.

Trends in Tropical Water Vapor ( ): Satellite and GCM Comparison Satellite Observed ---- Model Simulated __ Held and Soden 2006: Robust Responses.

Investigations of Artifacts in the ISCCP Datasets William B. Rossow July 2006.

R. T. Pinker, H. Wang, R. Hollmann, and H. Gadhavi Department of Atmospheric and Oceanic Science, University of Maryland, College Park, Maryland Use of.

Modeling and Analysis of the Earth’s Hydrologic Cycle Donald R. Johnson Tom H. Zapotocny Todd K. Schaack Allen J. Lenzen Space Science and Engineering.

Science of the Aqua Mission By: Michael Banta ESS 5 th class Ms. Jakubowyc December 7, 2006.

Weather and Climate Vocabulary 3-5 Grade. Rain Gauge An Instrument Used To Measure The Amount of Rainfall.

A Remote Sensing Sampler. Typical reflectance spectra Remote Sensing Applications Consultants -

A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5 Yi-Chih Huang.

Diurnal Cycle of Cloud and Precipitation Associated with the North American Monsoon System Pingping Xie, Yelena Yarosh, Mingyue Chen, Robert Joyce, John.

Study Land Cover Change from Climate Model and Satellite Remote Sensing Menglin S. Jin Department of Meteorology and Climate Science San José State University.

Weather and Climate Vocabulary 3-5 Grade. Rain Gauge An instrument used to measure the amount of rainfall.

Satellites Storm “Since the early 1960s, virtually all areas of the atmospheric sciences have been revolutionized by the development and application of.

MODIS Near-IR Water Vapor and Cirrus Reflectance Algorithms & Recent Updates for Collection 5 Bo-Cai Gao Remote Sensing Division, Code 7232, Naval Research.

Interannual Variability and Decadal Change of Solar Reflectance Spectra Zhonghai Jin Costy Loukachine Bruce Wielicki (NASA Langley research Center / SSAI,

Overview of Climate Observational Requirements for GOES-R Herbert Jacobowitz Short & Associates, Inc.

TS 15 The Great Salt Lake System ASLO 2005 Aquatic Sciences Meeting Climatology and Variability of Satellite-derived Temperature of the Great Salt Lake.

MODIS Atmosphere Group Summary Collection 5 Status Collection 5 Status  Summary of modifications and enhancements in collection 5 (mostly covered in posters)

NASA Langley Research Center / Atmospheric Sciences CERES Instantaneous Clear-sky and Monthly Averaged Radiance and Flux Product Overview David Young NASA.

Properties of Tropical Ice Clouds: Analyses Based on Terra/Aqua Measurements P. Yang, G. Hong, K. Meyer, G. North, A. Dessler Texas A&M University B.-C.

“CMORPH” is a method that creates spatially & temporally complete information using existing precipitation products that are derived from passive microwave.

A Brief Introduction to CRU, GHCN, NCEP2, CAM3.5

Project Title: NEWS Science Integration Team PI: William B

THE WATER CYCLE Evaporation, Transpiration, Condensation, Precipitation, Surface-Water Flow, and Groundwater Flow.

GLACIERS AND CLIMATE Mass balance ELA Pleistocene glaciation

NASA Satellite Images for 2007

+ = Climate Responses to Biomass Burning Aerosols over South Africa

Presentation transcript:

MODIS Observed Surface and Atmosphere Characters over Tibetan Plateau Menglin Jin, PhD

Glaciers as a Harbinger of Global Change  Glacier National Park –110 glaciers have disappeared in the past 150 years –37 remaining glaciers expected to disappear within 25 years  Mt. Kilimanjaro –All glaciers likely to disappear within 20 years  160,000 glaciers worldwide being monitored by satellites (especially Landsat 7/ETM+ and Terra/ASTER) Gangotri Glacier, Himalaya Bhutan-Himalaya

Kiehl and Trenberth, 1997 CLOUD SNOW

Landsat 7 4/15/99 NASA Earth Science Spacecraft Terra12/18/99Aqua5/4/02 TRMM11/27/97

Skin Temperature

NCAR GCM T skin snow ~ K MODIS T skin ~>280K

CCSM3/CLM3 Snow Temperature NCAR Model Simulation

Tiebetan Plateau CCSM3/CLM3

TRMM rainfall

Aerosol Optical Thickness, July 2004

Interannual Variations Aerosol Optical Thickness, from MODIS

Cirrus, from MODIS

Cirrus Fraction, by MODIS

Water vapor

Cloud optical thickness, from MODIS

Cloud fraction

Cloud Top Pressure Cloud Top Temperature

Total Column Water Vapor, from MODIS

Diurnal Variation Aqua-Terra Cirrus Fraction, January 2005

Aqua-Terra Cirrus Refelectance, January 2005

Aqua-Terra total column water vapor, January 2005

Aqua-Terra total column water vapor, July 2004

Auqa-Terra Cloud Fraction, January 2005

Diurnal, seasonal, and inter-annual variations of rainfall, clouds, and water vapor over the Tibetan Plateau are examined using the most advanced satellite observations. Such understanding is critical for further modeling this regions. Land Information System for easier accessing and analyzing MODIS land observations is desired Summary