esa ACE+ An Atmosphere and Climate Explorer based on GPS, GALILEO, and LEO-LEO Occultation Per Høeg (AIR/DMI) Gottfried Kirchengast (IGAM/UG)

Similar documents
SP-1279 (4) REPORTS FOR MISSION SELECTION THE SIX CANDIDATE EARTH EXPLORER MISSIONS. April 2004

DANISH METEOROLOGICAL INSTITUTE

- an Operational Radio Occultation System

Use of FY-3C/GNOS Data for Assessing the on-orbit Performance of Microwave Sounding Instruments

GRAS SAF RADIO OCCULTATION PROCESSING CENTER

Future Opportunities of Using Microwave Data from Small Satellites for Monitoring and Predicting Severe Storms

Climate Monitoring with GPS RO Achievements and Challenges

Next generation of EUMETSAT microwave imagers and sounders: new opportunities for cloud and precipitation retrieval

Interacciones en la Red Iberica

GRAS SAF Workshop on Applications of GPS Radio Occultation Measurements. ECMWF Reading, UK; June 2008

Updates on CMA FENGYUN Meteorological Satellite Programs

New Radiosonde Temperature Bias Adjustments for Potential NWP Applications Based on GPS RO Data

Application of Radio Occultation Data in Analyses and Forecasts of Tropical Cyclones Using an Ensemble Assimilation System

The role of GPS-RO at ECMWF" ! COSMIC Data Users Workshop!! 30 September 2014! !!! ECMWF

Ensemble-Based Analysis of Errors in Atmospheric Profiles Retrieved from GNSS Occultation Data

Sensitivity of NWP model skill to the obliquity of the GPS radio occultation soundings

Summary of IROWG Activities

Observing System Simulation Experiments (OSSEs) with Radio Occultation observations

Dynamical. regions during sudden stratospheric warming event (Case study of 2009 and 2013 event)

Specifications for a Reference Radiosonde for the GCOS Reference. Upper-Air Network (GRUAN)

REVISION OF THE STATEMENT OF GUIDANCE FOR GLOBAL NUMERICAL WEATHER PREDICTION. (Submitted by Dr. J. Eyre)

NOAA Satellite & Information Service (NESDIS)

EUMETSAT STATUS AND PLANS

Future cm & mm Wavelength Occultation System: Active Temperature, Ozone and Moisture Microwave Spectrometer (ATOMMS) E. R.

Satellite Observations of Greenhouse Gases

IMPACT OF GROUND-BASED GPS PRECIPITABLE WATER VAPOR AND COSMIC GPS REFRACTIVITY PROFILE ON HURRICANE DEAN FORECAST. (a) (b) (c)

We have processed RO data for climate research and for validation of weather data since 1995 as illustrated in Figure 1.

Comparison of DMI Retrieval of CHAMP Occultation Data with ECMWF

Inventory & Evaluation of Space-based Instruments: Using OSCAR for space weather

OBSERVING SYSTEM EXPERIMENTS ON ATOVS ORBIT CONSTELLATIONS

Assimilation of Global Positioning System Radio Occultation Observations into NCEP s Global Data Assimilation System

WMO OSCAR. Observing Systems Capability Analysis and Review Tool A building block of Rolling Requirements Review

Sensitivity of GNSS Occultation Profiles to Horizontal Variability in the Troposphere: A Simulation Study

Validation of Climate Models Using Ground-Based GNSS Observations. Dep. of Earth and Space Sciences, Onsala Space Observatory, SE Onsala

2 nd Cryonet-Asia Worskshop Salekhard, Russian Federation (2-5 February 2016)

Status report on the current and future meteorological satellite systems by CMA

ROCSAT-3 Constellation Mission

Use of ground-based GNSS measurements in data assimilation. Reima Eresmaa Finnish Meteorological Institute

Preparation of a Science Plan for the Radio Occultation Instrument on EPS-SG/MetOp-SG

Progress on the assimilation of GNSS-RO at ECMWF

Instrumentation planned for MetOp-SG

Role of the Asian Monsoon in stratosphere troposphere exchange

The PaTrop Experiment

CMA Consideration on early-morning orbit satellite

4/23/2014. Radio Occultation as a Gap Filler for Infrared and Microwave Sounders Richard Anthes Presentation to Joshua Leiling and Shawn Ward, GAO

EPS-SG Candidate Observation Missions

VELOX-CI: Advanced Application of GPS for Radio Occultation and Satellite Attitude Determination

Climate Monitoring with Radio Occultation Data

NUMERICAL EXPERIMENTS USING CLOUD MOTION WINDS AT ECMWF GRAEME KELLY. ECMWF, Shinfield Park, Reading ABSTRACT

Aeolus ESA s Wind Lidar Mission: Objectives, Design & Status

Preliminary evaluation of the impact of. cyclone assimilation and prediction

Validation of water vapour profiles from GPS radio occultations in the Arctic

Validation of Water Vapour Profiles from GPS Radio Occultations in the Arctic

VISION FOR THE GOS IN 2025 ( Approved by CBS-XIV and Adopted by EC LXI in June 2009)

GNSS radio occultation measurements: Current status and future perspectives

Geodetics measurements within the scope of current and future perspectives of GNSS-Reflectometry and GNSS-Radio Occultation

Ionosphere Variability at Mid Latitudes during Sudden Stratosphere Warmings

Impact of 837 GPS/MET bending angle profiles on assimilation and forecasts for the period June 20 30, 1995

IV. Atmospheric Science Section

The Earth Explorer Missions - Current Status

The Study of the Atmosphere

Vicky Chu, Jer Ling, Tom Lin, Joe Fong, Feng-Tai Huang, Guey-Shin Chang. April 15, 2011

Axel von Engeln 1,2, Gerald Nedoluha 3

IMPORTANCE OF SATELLITE DATA (FOR REANALYSIS AND BEYOND) Jörg Schulz EUMETSAT

THE ATMOSPHERIC DYNAMICS MISSION. P. Ingmann and J. Fuchs (*) and the members of the ADMAG 1 ABSTRACT

Satellite data assimilation for Numerical Weather Prediction II

Severe Weather Simulation Experiment (QuickOSSE) Using Super Constellations of GNSS Radio Occultation Satellites

Evaluation of a non-local observation operator in assimilation of. CHAMP radio occultation refractivity with WRF

2. Outline of the MRI-EPS

EUMETSAT PLANS. K. Dieter Klaes EUMETSAT Darmstadt, Germany

The ALTIUS mission. Status and expected performance of O 3, NO 2 and aerosols limb measurements

THE GRAS SAF PROJECT: RADIO OCCULTATION PRODUCTS FROM METOP

ERA5 and the use of ERA data

ASSIMILATION OF GRAS GPS RADIO OCCULTATION MEASUREMENTS AT ECMWF

OSSE to infer the impact of Arctic AMVs extracted from highly elliptical orbit imagery

N E S D I S C D A A C. COSMIC Operations JCSDA TACC NCEP ECMWF CWB GTS UKMO

Recent Advances in Radio Occultation Science and Applications and a Look at the Future

A comparison of lower stratosphere temperature from microwave measurements with CHAMP GPS RO data

The assimilation of GPS Radio Occultation measurements at the Met Office

EUMETSAT's possible contributions to the future radio occultation constellation. COSMIC Workshop 2009 Boulder, USA

The ECMWF coupled data assimilation system

An Overview of Atmospheric Analyses and Reanalyses for Climate

Status of Indian Satellite Meteorological Programme

Combined forecast impact of GRACE-A and CHAMP GPS radio occultation bending angle profiles

DWTS The Doppler Wind and Temperature Sounder

ON THE NEEDS, REQUIREMENTS AND FEASIBILITY OF A SPACE-BORNE WIND PROFILER

Radio Occultation Data and Algorithms Validation Based on CHAMP/GPS Data

EUMETSAT PLANS. Dr. K. Dieter Klaes EUMETSAT Am Kavalleriesand 31 D Darmstadt Germany

APPENDIX 2 OVERVIEW OF THE GLOBAL PRECIPITATION MEASUREMENT (GPM) AND THE TROPICAL RAINFALL MEASURING MISSION (TRMM) 2-1

ASSIMILATION OF CLOUDY AMSU-A MICROWAVE RADIANCES IN 4D-VAR 1. Stephen English, Una O Keeffe and Martin Sharpe

Forecast of hurricane track and intensity with advanced IR soundings

PROOF-OF-CONCEPT DEMONSTRATION OF A MILLIMETRE WAVE IMAGING SOUNDER FOR GEOSTATIONARY EARTH ORBIT

Radio occultation at GFZ Potsdam: Current status and future prospects

Julia Figa-Saldaña & Klaus Scipal

An Evaluation of FY-3C MWHS-2 and its potential to improve forecast accuracy at ECMWF

COSMIC Program Office

Atmospheric QBO and ENSO indices with high vertical resolution from GNSS RO

Review of GNSS as sources of opportunity for Earth Observation

Originally published as:

Reanalysis applications of GPS radio occultation measurements

Transcription:

ACE+ An Atmosphere and Climate Explorer based on GPS, GALILEO, and LEO-LEO Occultation Per Høeg (AIR/DMI) Gottfried Kirchengast (IGAM/UG) OPAC-1, September, 2002 1

Objectives Climate Monitoring global long-term variations in the climate and the forcings of the atmosphere system giving rise to trends Atmosphere Observe and analyze globally the physical condition and state of the atmosphere of the Earth to improve predictions of future state Space Weather Monitoring and modeling of ionosphere and plasmasphere electron density structures Hoeg & Kirchengast, OPAC-1, September, 2002 2

Major goal: Scientific Objectives To monitor and describe variations and changes in the global atmospheric temperature and water vapour distribution in order to assess climate changes caused by mass field changes and atmosphere dynamics. Main objectives: To establish highly accurate (< 0.003 g/kg and < 3 % in specific humidity) and vertically resolved (< 1 km) global climatology of water vapour in the troposphere; To establish a highly accurate (< 0.2 K) and vertically resolved (~1 km) global climatology of temperature in the troposphere and the stratosphere; To perform research on climate variability and climate change together with research in improved atmospheric models as well as advancements in NWP; To study troposphere structures in polar and equatorial regions; To support analysis and validation of data from other space missions; To demonstrate a new and novel active atmospheric sounding technique with the CALL instrument; To enhance the European observational capability for improved contribution to the international GCOS initiative. Advances in atmosphere physics and climate change processes: Global climate warming and increased averaged atmospheric water vapour levels; Tropical heat and mass exchange with extra-tropical regions; Transport across subtropical mixing barriers, relevant for information on the lifetime of greenhouse gases; Stratospheric winds and temperatures and atmospheric wave phenomena; Polar front dynamics and mass exchange together with tropospheric water vapour feedback on climate stability; High latitude tropospheric-stratospheric exchange processes related to polar vortex conditions; Climatology of Rossby waves and atmospheric internal waves. Hoeg & Kirchengast, OPAC-1, September, 2002 3

Satellite Constellation 4 micro-satellites Mass: ~130 kg Power: ~80 W Stable two-plane constellation in 90 degrees inclination In each plane, counter-rotating orbits with 2 satellites - for optimizing quality of measurements Two altitudes Heights 650 km and 850 km to optimize spatial distribution of occultations Orbital local time drift To optimize the temporal and local time distribution of occultations Instruments L-band GPS/GALILEO precision receiver X/K-band LEO-LEO precision transmitter and receiver (2 of each) Hoeg & Kirchengast, OPAC-1, September, 2002 4

ESA GNSS Atmosphere Profiling Missions Year EXPLORER Missions CORE OPPORTUNITY 1996 Atmospheric Profiling Mission (One of 9 pre-selected proposals) 1998 ACE (Atmosphere Climate Experiment) (Selected 3rd out of 27 proposals - Total: 33) 2000 WATS (Water Vapour in the Troposphere and Stratosphere) (One of 5 pre-selected proposals - Total: 10) 2001 ACE+ (Atmosphere Climate Explorer) (Selected 1st out of 25 proposals - Total: 28) Hoeg & Kirchengast, OPAC-1, September, 2002 5

CALL FORE Antennas CALL Transmitter CALL AFT Antennas CALL FORE Antennas CALL Receiver CALL AFT Antennas USO USO GRAS FORE Antenna GRAS Electronics GRAS AFT Antenna GRAS FORE Antenna GRAS Electronics GRAS AFT Antenna GRAS Zenith Antenna GRAS Zenith Antenna Hoeg & Kirchengast, OPAC-1, September, 2002 6

Why are measurements of atmospheric water vapor important? Indicator of climate change Strongest greenhouse gas Climate positive/negative feedback Energy reservoir Impact/feedback on global wind system changes and general atmosphere dynamics Hydrologic cycle Highly variable (time and space) Hoeg & Kirchengast, OPAC-1, September, 2002 7

Global Temperature Deviations Hoeg & Kirchengast, OPAC-1, September, 2002 8

Forcing residuals in atmospheric models F t O = F t M + R Estimation of the residual (R) requires availability of high quality observed data. Forcing residuals can be used to: identify tendency errors in the differential equations of atmospheric models detect temporal variations in external forcing of the atmosphere. Hoeg & Kirchengast, OPAC-1, September, 2002 9

Weak nudging towards the re-analyses Data assimilation via nudging: Ψ t = Ψ t * + Ψ obs Ψ τ MOD Discretization in time (assimilation in spectral space): Ψ n, m ( t + t) = Ψ * n, m + 2 t ( t ( Ψ + t) ERA n, m ( t + t) Ψ τ n, m ( t + t)) Forcing residual is approximated by the last fraction: R n, m ( t + t) ( Ψ ERA n, m ( t + t) Ψ τ n, m ( t + t)) Hoeg & Kirchengast, OPAC-1, September, 2002 10

WMO Requirements Main indicators: Wind, Temperature, Pressure, Water Vapor Requirements for improved weather forecasting Temperature: < 0.3 % [180 335 K] Pressure: < 0.3 % [0.5 1100 hpa] Water vapor: < 20 % [1 45 hpa] Coverage: global [data separation < 500 km] Hoeg & Kirchengast, OPAC-1, September, 2002 11

The ACE+ Experiments D 2 D 2 D 1 GPS / GALILEO h LEO LEO V S Earth Hoeg & Kirchengast, OPAC-1, September, 2002 12

GRAS Temperature Retrieval Hoeg & Kirchengast, OPAC-1, September, 2002 13

Processing Steps for Water Vapor Retrievals Hoeg & Kirchengast, OPAC-1, September, 2002 14

GRAS Requirements Parameter Horizontal domain Horizontal sampling Vertical domain Vertical Resolution Time domain Time resolution Long-term stability Number of profiles per grid box per month Accuracy Timeliness (NWP) Stratosphere Stratosphere Timeliness (Climate) Troposphere Troposphere Temperature Global 1.0 x1.0-2.5 x2.5 Surface -1hPa(0-50 km) 0.5 km 1 km > 5 years 1-10 years < 0.1 K/decade > 40 < 1 K < 1 K 3 hrs 30 60 days Humidity Global 1.0 x1.0-2.5 x2.5 Surface - 300 hpa (0-10 km) 0.5 km > 5 years 1-10 years < 2% RH/decade > 40 < 10% 3 hrs 30 60 days Hoeg & Kirchengast, OPAC-1, September, 2002 15

Absorption of signals at X/K-band frequencies Absorptivity (db km -1 ) 0.30 0.25 0.20 0.15 0.10 0.05 Water Vapor Absorption 100% 75% 50% 3% 10% 25% 0.00 0% 0 10 20 30 40 Frequency (GHz) Permitted frequencies: 9.5-9.8 GHz 17.2-17.3 GHz 22.5-23.5 GHz Hoeg & Kirchengast, OPAC-1, September, 2002 16

Absorption properties Hoeg & Kirchengast, OPAC-1, September, 2002 17

CALL Temperature and Humidity Retrieval Hoeg & Kirchengast, OPAC-1, September, 2002 18

CALL Parameter Specific Humidity Temperature Temperature and Humidity Requirements Horizontal Domain Horizontal Sampling Vertical Domain Vertical Sampling Time Sampling LT HT LS HS Global 100 500 km Surface to 10 hpa 0.4 2 km 0.5 2 km 3 24 hrs Global 100 500 km Surface to 100 hpa 0.3 3 km 1 3 km 1 3 km 5 10 km 3 24 hrs RMS Accuracy LT HT LS HS 0.25 1 g/kg 0.025 0.1 g/kg 0.5 3 K 0.5 3 K 0.5 3 K 1 3K Timeliness (NWP) 1 3 hrs 1 3 hrs Timeliness (Climate) 30 60 days 30 60 days Time Domain (Climate) > 5 years > 5 years Long-term Stability < 2% RH/decade < 0.1 K/decade No. of profiles/ grid box/month > 40 > 40 Hoeg & Kirchengast, OPAC-1, September, 2002 19

Global Distribution of GNSS-LEO Occultations Hoeg & Kirchengast, OPAC-1, September, 2002 20

Distribution of NWP Radiosonde Observations Hoeg & Kirchengast, OPAC-1, September, 2002 21

Global Distribution of LEO-LEO Occultations Hoeg & Kirchengast, OPAC-1, September, 2002 22

Launch 2007/2008 Mission lifetime 5 years (2008 2012) Hoeg & Kirchengast, OPAC-1, September, 2002 23