Comparison of Temperature Data from HIPPO-1 Flights Using COSMIC and Microwave Temperature Profiler Kelly Schick 1,2,3 and Julie Haggerty 4 1 Monarch High.

Slides:



Advertisements
Similar presentations
(Very) Preliminary Quality Assessment of Stratospheric AMSU Channels (Channels 9 – 14) Carl Mears Remote Sensing Systems.
Advertisements

P1.5.4 Red-shift AQA GCSE Science A. There are two main pieces of evidence for the Big Bang: 1.The expansion of the universe 2. Cosmic microwave background.
Hypothesis Testing Steps in Hypothesis Testing:
Part 6. Altimetry. Part 6. Altimetry TOPICS Pressure, Humidity & Temperature ISA and the Aircraft Altimeter 4 Pressure, Humidity & Temperature 4 ISA.
THE AUSTRALIAN NATIONAL UNIVERSITY Infrasound Technology Workshop, November 2007, Tokyo, Japan OPTIMUM ARRAY DESIGN FOR THE DETECTION OF DISTANT.
Calibration Scenarios for PICASSO-CENA J. A. REAGAN, X. WANG, H. FANG University of Arizona, ECE Dept., Bldg. 104, Tucson, AZ MARY T. OSBORN SAIC,
Chapter 4 The Relation between Two Variables
Why the Earth has seasons  Earth revolves in elliptical path around sun every 365 days.  Earth rotates counterclockwise or eastward every 24 hours.
Section 7.2 ~ Interpreting Correlations Introduction to Probability and Statistics Ms. Young ~ room 113.
LECTURE 3 Introduction to Linear Regression and Correlation Analysis
Chapter 2: Mapping Our World
Remote sensing in meteorology
Microwindow Selection for the MIPAS Reduced Resolution Mode INTRODUCTION Microwindows are the small subsets of the complete MIPAS spectrum which are used.
On average TES exhibits a small positive bias in the middle and lower troposphere of less than 15% and a larger negative bias of up to 30% in the upper.
Ben Kravitz November 12, 2009 Limb Scanning and Occultation.
Wave-critical layer interactions observed using GPS data Bill Randel, NCAR.
Cloud Top Height Retrieval From MIPAS Jane Hurley, Anu Dudhia, Graham Ewen, Don Grainger Atmospheric, Oceanic and Planetary Physics, University of Oxford.
Hyperspectral Satellite Imaging Planning a Mission Victor Gardner University of Maryland 2007 AIAA Region 1 Mid-Atlantic Student Conference National Institute.
Stephen J. Katzberg † And Jason Dunion ‡ † Distinguished.
GPS Satellites Satellite-based navigation system originally developed for military purposes (NAVSTAR ). NAVSTAR Global Positioning System (GPS) Globally.
Figure 1 Figure 8 Figure 9Figure 10 Altitude resolved mid-IR transmission of H 2 O, CH 4 and CO 2 at Mauna Loa Anika Guha Atmospheric Chemistry Division,
2.1 Latitude and Longitude
New Satellite Capabilities and Existing Opportunities Bill Kuo 1 and Chris Velden 2 1 National Center for Atmospheric Research 2 University of Wisconsin.
Comparison of temperature data from HIPPO-1 flights using COSMIC profiles and Microwave Temperature Profiler. Kelly Schick 1,2,3 and Julie Haggerty, Ph.D.
Contour Mapping Topographic Maps – a detailed map showing hills, valleys, and other features of a specific area.
Maps are flat models of 3-D objects. All flat maps distort the shapes and areas of land masses to some extent. We will talk about 4 types of maps: Mercator.
Using GPS data to study the tropical tropopause Bill Randel National Center for Atmospheric Research Boulder, Colorado “You can observe a lot by just watching”
Introduction Stomatal conductance regulates the rates of several necessary processes in plants including transpiration, carbon dioxide assimilation, and.
Development and evaluation of Passive Microwave SWE retrieval equations for mountainous area Naoki Mizukami.
Institute of Environmental Physics and Remote Sensing IUP/IFE-UB Physics/Electrical Engineering Department 1 Measurements.
COSMIC GPS Radio Occultation Temperature Profiles in Clouds L. LIN AND X. ZOU The Florida State University, Tallahassee, Florida R. ANTHES University Corporation.
Hurricane Intensity Estimation from GOES-R Hyperspectral Environmental Suite Eye Sounding Fourth GOES-R Users’ Conference Mark DeMaria NESDIS/ORA-STAR,
Time series Model assessment. Tourist arrivals to NZ Period is quarterly.
Objective Data  The outlined square marks the area of the study arranged in most cases in a coarse 24X24 grid.  Data from the NASA Langley Research Center.
Descriptive statistics Petter Mostad Goal: Reduce data amount, keep ”information” Two uses: Data exploration: What you do for yourself when.
January 14, 2003GPS Meteorology Workshop1 Information from a Numerical Weather Model for Improving Atmosphere Delay Estimation in Geodesy Arthur Niell.
Global Climates. Global Distribution Of Climate Climate describes the temperature, precipitation, and other weather conditions of a certain area. The.
Module 6Aberration and Doppler Shift of Light1 Module 6 Aberration and Doppler Shift of Light The term aberration used here means deviation. If a light.
Atmosphere: Structure and Temperature Bell Ringers:  How does weather differ from climate?  Why do the seasons occur?  What would happen if carbon.
Comparison of Temperature Data from HIPPO-1 Flight Using COSMIC and Microwave Temperature Profiler Kelly Schick 1,2,3 and Julie Haggerty 4 1 Monarch High.
Key RO Advances Observation –Lower tropospheric penetration (open loop / demodulation) –Larger number of profiles (rising & setting) –Detailed precision.
1 Module One: Measurements and Uncertainties No measurement can perfectly determine the value of the quantity being measured. The uncertainty of a measurement.
Preliminary results from assimilation of GPS radio occultation data in WRF using an ensemble filter H. Liu, J. Anderson, B. Kuo, C. Snyder, A. Caya IMAGe.
Comparison of Radiosonde and Profiler Data with ACARS Data for Describing the Great Plains Low-Level Jet Ross W. Bradshaw Meteorology Program, Dept. of.
Radio Occultation. Temperature [C] at 100 mb (16km) Evolving COSMIC Constellation.
Validation of Satellite-derived Clear-sky Atmospheric Temperature Inversions in the Arctic Yinghui Liu 1, Jeffrey R. Key 2, Axel Schweiger 3, Jennifer.
The Science of Map Making.  Separates the Earth into 2 halves a) Northern Hemisphere b) Southern Hemisphere.
Data Assimilation Retrieval of Electron Density Profiles from Radio Occultation Measurements Xin’an Yue, W. S. Schreiner, Jason Lin, C. Rocken, Y-H. Kuo.
COSMIC Ionospheric measurements Jiuhou Lei NCAR ASP/HAO Research review, Boulder, March 8, 2007.
Figure 1 Figure 8 Figure 9Figure 10 Altitude resolved mid-IR transmission of H 2 O, CH 4 and CO 2 at Mauna Loa Anika Guha Atmospheric Chemistry Division,
+ Mortality. + Starter for 10…. In pairs write on a post it note: One statistic that we use to measure mortality On another post it note write down: A.
The NCAR Microwave Temperature Profiler: Data Applications from Recent Deployments Julie Haggerty, Kelly Schick, Chris Davis National Center for Atmospheric.
 Starter 1.List and describe the three ways heat can be transferred. 2.How is the atmosphere affected by: a.Convection? b.Conduction? c.Radiation? 3.Describe.
1 Validation of Swarm ACC preliminary dataset Swarm 5th Data Quality Workshop, Institut de Physique du Globe de Paris, France, 7 – 10 September 2015 Aleš.
Updated Force Measurement Statistical Tool Jason Beardsley and Bob Fox.
Integrating LiDAR Intensity and Elevation Data for Terrain Characterization in a Forested Area Cheng Wang and Nancy F. Glenn IEEE GEOSCIENCE AND REMOTE.
HSAF Soil Moisture Training
Upper Air Data The Atmosphere is 3D and can not be understood or forecast by using surface data alone.
DO NOW Turn in Review #13. Pick up notes and Review #14.
Study of the sporadic E (Es) layer by GPS radio occultation (RO)
Earth’s Atmosphere.
The Earth’s Atmosphere
Upper Air Observations The atmosphere is 3D and can not be understood or forecast by using surface data alone ATM 101W2019.
Tidal Signatures in the Extended Canadian Middle Atmosphere Model
Background Info/Purpose
Remote sensing in meteorology
The impact of ocean surface and atmosphere on TOA mircowave radiance
Presentation transcript:

Comparison of Temperature Data from HIPPO-1 Flights Using COSMIC and Microwave Temperature Profiler Kelly Schick 1,2,3 and Julie Haggerty 4 1 Monarch High School Class of Colorado State University Class of HIRO Program 4 Earth Observing Laboratory/Research Aviation Facility Results A paired data set at 9500m showing a strong disagreement with the one to one line, but still a fairly linear agreement, resulting in a low t Stat. Both the comparisons at 8000m and 4500m contain mid-range t-Stats of about.5. Both data sets follow the one to one line fairly well, with a few outliers. Implications While the t-Test confirmed that there is a high probability of both sources of measurements being the same, there were still some instances that showed disagreements that could not be explained by either distance in space or time or by location. The project will continue with the available HIPPO data to create a larger sample size. Further comparisons need to be performed using radiosonde data as well, as a way to determine which instrument is correct. The data collected here is the start of a project on-going with all of the HIPPO flights. Discussion Based on the results from the t-Test, the COSMIC profiles could be used for calibration of MTP data. The t-Stat given, the probability of the means being the same, stayed near or above.5(50%) for most of the data; however, occasionally one source would pick up a feature that another would not. For example, in at least one case the COSMIC profile did not resolve a temperature inversion that was present in the MTP data and verified with a corresponding radiosonde profile. This disagreement could not always be attributed to separation in either space or time. These disagreements were less common in tropical latitudes and more common in the artic and Antarctic regions. Based on this, the conclusion can be drawn that when within reasonable parameters both instruments agree. Reasonable parameters can be defined as less than 1000km in space and 7200 sec in time between 45 N and 45 S and less than 900 km in space and 7200 sec in time at latitudes above 45 N and below 45 S. Acknowledgements This work was performed under the auspices of the High School Internship and Research Opportunities (HIRO) program with funding from the University Corporation for Atmospheric Research (UCAR). A special thank you to :Nancy Wade and Kyle Ham, for all their support and understanding in this phenomenal opportunity; My mentor, Julie Haggerty, for graciously spending time getting me started and always including me whenever something cool happened to pop up; Sean Stroble for writing the interpolate program and being ever ready to revise it as we discovered something we had forgotten. A paired data set at 10,000 m showing a high correspondence with the one to one line and a high t Stat. The comparison in Flight 6 shows good agreement above 7500m, but in the lower altitudes COSMIC picks up some unusual inversions that the MTP does not. This comparison in more Antarctic latitudes show a high agreement between the COSMIC and the MTP due to a relatively small distance apart. One of the most essential measurements in atmospheric data collection is temperature. The most common form of atmospheric temperature profiling is the radiosonde. Radiosonde data is considered reliable, but coverage is limited over oceans and remote regions. Alternatives to radiosondes exist in the COSMIC GPS profiles and in the Microwave Temperature Profiler (MTP). COSMIC uses radio occultation from a system of six satellites to determine temperature by interpreting the delays and distortions of the signal. The MTP, mounted on an aircraft, measures radiation emitted from oxygen molecules at three frequencies in the microwave portion of the electromagnetic spectrum. Taking measurements from its position on the aircraft wing at ten different angles allows the MTP to look at variations and determine a temperature profile at 15-second intervals. In order to retrieve the MTP temperature profile, radiosonde data is required for calibration. However, when flying over oceanic or remote regions radiosonde data is quite sparse. The purpose of this project is to compare the data from the COSMIC satellite to the MTP data from HIPPO-1 flights from January 9 to 30, 2009 to determine if the COSMIC could be used for calibrations of the MTP instead of radiosondes. Background Diagram showing how radio occultation works. Method To determine the relationship between the COSMIC and the MTP data, we first located the COSMIC profiles nearest to the HIPPO-1 flight track of the MTP. The data were first isolated to only those within one hour before take-off and one hour after landing. After those profiles were located, the Great Circle distance was calculated. The profiles farther than 1000 km from the GPS track at the time of the profile were removed from consideration, leaving 20 data points. A further investigation of the points farther than 900km at higher latitudes (artic and Antarctic) lead to any data points with a latitude above 45°N or below 45°S being removed from consideration due to a higher variance in atmospheric conditions. The data were then interpolated to give the temperatures from a series of altitudes from 500 m to m at increments of 500 m. Further review of the MTP data demonstrated too few samples to give an accurate comparison above ft. Graphs of the temperatures were then created to show the shifting of the temperatures from one instrument to the next and where each instrument identified the height of the tropopause. A t-Test was then performed to compare the mean of each instruments data, which results in the probability that the means of the two data sets illustrated the same measure. The t-Test was then reinforced by a scatter plot of the relationship of the two temperatures across the height profile. Map showing flight track and profiles Data in more tropical latitudes showed higher correlation that was not as affected by separation in time and space as shown in figure 1 A, where as data the same relative distance apart in higher latitudes showed discrepancies as in figure 1 B. In figure 1 B, COSMIC and the MTP resolved a temperature inversion at completely different altitudes. Fig. 1A Fig. 1 B MTP on wing of G