Lab 01: Intro to NASA Data Products23 August 2019

SeaWIFS

Aqua

CloudSAT

CALIPSO

UARS

Aura

NASA Earth-Observing Satellites

Terra

TOMS Earth Probe

Nimbus-7

Introduction to NASA data products

TRMM

SORCE

TIMED

• Abstract due 06 September 2019 (title/brief summary/2-3 refs)

• Goal is to perform an analysis and interpretation of remote sensing data in a well-defined problem

• Class paper due 18 November 2019

• Class presentations 18-22 November 2019

Science Question Remote Sensing Data Products

Data Products ATBD

Satellite(s)/Sensor(s)

Class Research Project

1) NASA Earth Science Data2) NASA Data Processing Levels3) NASA Data Format4) GIOVANNI

Intro to NASA Data Products

1) NASA Earth Science Data

NASAhttps://www.nasa.gov/

NASA Mission Directorates

Aeronautics ResearchHuman Expolaration and

OperationsScience

https://science.nasa.gov/Space Technology

NASA Science Divisions

Earth Sciencehttps://science.nasa.gov/

earth-science

Joint Agency Satellite

Heliophysics PlanetaryAstrophysics

Earth Observing Systemhttps://eospso.nasa.gov/

Satellite Remote Sensing of the Earth

Earth Observing System Data and Information System

(EOSDIS)https://earthdata.nasa.gov/

Earth Observing Systemhttps://eospso.nasa.gov/

NASA Earth Science Division Operating Missions

http://eospso.gsfc.nasa.gov/

NASA Earth Data:https://science.nasa.gov/earth-science/earth-data

• Earth Observing System Data and Information System (EOSDIS) https://earthdata.nasa.gov/• EOSDIS Worldview (Interactive Imagery): https://worldview.earthdata.nasa.gov/

Some other Useful Links:

• CloudSat Data Processing Center http://www.cloudsat.cira.colostate.edu/

• Laboratory for Atmospheric and Space Physics (LASP) Solar Irradiance Data Center http://lasp.colorado.edu/lisird/

• Precipitation Processing System (PPS) https://pps.gsfc.nasa.gov/

NASA Earth Science Data Products

Earth Observing System Data and Information System (EOSDIS): http://earthdata.nasa.gov/NASA's Earth Observing System (EOS) comprises a series of satellites, a science component and a data system which is called The Earth Observing System Data and Information System (EOSDIS). EOSDIS distributes thousands of Earth system science data products and associated services for interdisciplinary studies. Almost all data in EOSDIS are held on-line and accessed via ftp.

Data Tool/Service/Center Description

Global Change Master Directory (GCMD) The directory level dataset catalog.

REVERB Inventory level cross-Data Center dataset and service search & access client.

EOSDIS Data Centers (called DAACs – Distributed Active Archive Centers) http://earthdata.nasa.gov/about-eosdis/system-description/eosdis-data-centers

The data centers have individual online systems that allow them to provide unique services for users of a particular type of data.

EOSDIS Data Service Directory EOSDIS search, visualization and analysis tool directory.

Earth Observing System Clearinghouse (ECHO)Application Program Interfaces (APIs) for inventory level cross-Data Center dataset and service search & access

NASA Distributed Active Archive Centers (DAACs)https://earthdata.nasa.gov/eosdis/daacs

2) NASA Data Processing Levels

Data Processing Levels

Data Processing Levels Data Level Description

Level 0

Reconstructed, unprocessed instrument and payload data at full resolution, with any and all communications artifacts (e.g., synchronization frames, communications headers, duplicate data) removed. (In most cases, the EOS Data and Operations System (EDOS) provides these data to the data centers as production data sets for processing by the Science Data Processing Segment (SDPS) or by a SIPS to produce higher-level products.)

Level 1A

Reconstructed, unprocessed instrument data at full resolution, time-referenced, and annotated with ancillary information, including radiometric and geometric calibration coefficients and georeferencing parameters (e.g., platform ephemeris) computed and appended but not applied to Level 0 data.

Level 1B Level 1A data that have been processed to sensor units (not all instruments have Level 1B source data).

Level 2 Derived geophysical variables at the same resolution and location as Level 1 source data.

Level 3 Variables mapped on uniform space-time grid scales, usually with some completeness and consistency.

Level 4 Model output or results from analyses of lower-level data

3) NASA Data FormatHDF (Hierarchical Data Format)http://hdfeos.org/index.php

HDF (Hierarchical Data Format) is a library and multi-object file format for storing and managing data between machines.

Two versions: HDF4 and HDF5.

Important features:

• Self-describing

• Can store swaths, grids, in-situ data, instrument metadata, and browse image in a single file

• No limits on size or number of data objects

• Allow complex data relations & dependences

• Support parallel I/O, multiple platforms and API with C/C++/Fortran/Java interfaces

Basics of HDF Data Format

4) GIOVANNI“The bridge between data and science”http://disc.sci.gsfc.nasa.gov/giovanni/overview/index.html

Giovanni Instances

What is Giovanni?

AB

D

EC

F

C

DE

BA C

F

Area Plot Time Series Model Output

Profile Cross-Section Correlations Column Densities

CALIOP CALIPSO

CloudSat

MODIS Terra

SeaWiFS

TRMM

HALOE UARS

TOMS EP, N7

Data Inputs

MLS Aura

OMI Aura

AMSR-E Aqua

MISR Terra

MODIS Aqua

AIRS Aqua

GES-DISC Interactive Online Visualization and Analysis Infrastructure (Giovanni)GIOVANNI Capabilities:

Basic (one-parameter):• Area plot – averaged or accumulated over any data period for

any rectangular area (various map projections)• Time plot – time series averaged over any rectangular area• Hovmoller plots –longitude-time or latitude-time cross sections• ASCII output – for all plot types (can be used with GIS apps,

spreadsheets, etc.)• Image animation – for area plot• Vertical profiles• Vertical cross-sections, zonal means

Beyond basics:• Area plot - geographical intercomparison between two

parameters

• Time plot - an X-Y time series plot of several parameters

• Scatter plot of parameters in selected area and time period

• Scatter plot of area averaged parameters - regional (i.e., spatially averaged) relationship between two parameters

• Temporal correlation map - relationship between two parameters at each grid point in the selected spatial area

• Temporal correlation of area averaged parameters - a single value of the correlation coefficient of a pair of selected parameters

• Difference plots

• Anomaly plots

• Acquiring parameter and spatial subsets in a batch mode through Giovanni

Computer Modeling Lab 01

Task 1: Investigating the MODIS Aerosol dataset: https://modis.gsfc.nasa.gov/data/dataprod/mod04.php

1) Describe the MODIS Aerosol data products and define the measured atmospheric parameters

2) Describe how the MODIS spectral channel is used for aerosol retrievals

3) Using MODIS aerosol data (visualized with GIOVANNI), determine which geographic regions on Earth had the strongest aerosol signal over different seasons and the 2002-2019 MODIS recording period.

Task 2: Sensor comparison

1) Compare MODIS and MISR satellite sensors, focusing on the spectral resolution and the spatial resolution, and their viewing geometry

MISR site: https://misr.jpl.nasa.gov/