Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 1/19 The wet tropospheric correction for coastal altimetry T. Strub S. Brown F. Mercier G. Wick R. Scharroo T. Haack E. Obligis B. Khayatian C. Desportes L. Eymard

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 2/19 OUTLINE 1) What do we know about coastal water vapor and the distance and time scales over which it changes ? 2) What models are available for making the wet delay correction, what in situ or remotely sensed data do they assimilate, and how should they be interpolated ? 3) How are water vapor radiometers on board altimeters affected by land in the footprint ? 4) How should these data be processed ? + 5) Radiometer design for future altimetry missions ?

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 3/19  Surface temperature differences between land and sea create land and sea breeze, and therefore short time scales wind and humidity structures  Relief can modify locally the humidity, the air becomes drier when passing over a mountain  Atmospheric rivers: large scale phenomena but imply high spatial variability near coasts 1) What do we know about coastal water vapor and the distance and time scales over which it changes ? SSM/I Integrated water vapor (cm) 1000 km G. Wick dh ~ 6cm dh~42cm

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 4/19 Actual global meteorological models (ECMWF, NCEP) are most of the time not accurate enough because:  Their spatial and temporal resolutions are not adapted (6 hours, 0.5° for ECMWF) to coastal humidity variability (see previous slide)  They assimilate a lot of in-situ measurements (radiosondes) but also satellite radiometer brightness temperatures that suffer the same contamination problems in coastal zones ! 2) What models are available for making the wet delay correction, what in situ or remotely sensed data do they assimilate, and how should they be interpolated ?

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 5/19 Aladin model : operational mesoscale forecast model of Météo-France (0.1° resolution) over the Mediterranean sea 2) What models are available for making the wet delay correction, what in situ or remotely sensed data do they assimilate, and how should they be interpolated ? -2cm2cm Difference with ECMWF Mistral case Little structures (<100km) not represented in the ECMWF model

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 6/19 Navy's high-resolution mesoscale model COAMPS  Running operationally at 9km resolution or better for 7 regions around the globe  Assimilates radiosondes, surface stations and buoy data (3DVAR). At a later date TOVS and SSM/I water vapor products  10 years of archived forecasts over the U.S. West Coast for validation and research studies  Robustly validated and documented  Used to get information on atmospheric variability and modeling capability gradients of 5-6 cm over ~100km. 2) What models are available for making the wet delay correction, what in situ or remotely sensed data do they assimilate, and how should they be interpolated ?  Performed well at offshore sites (Channel Islands and NPS ship) but did not handle the intricacies of local circulations at coastal sites (Pt. Magu, LA, San Diego), or sea/land breeze phenomena  Suggests substantial mesoscale variation in the integrated water vapor field linked to block coastal flow cm COAMPS (9km) Integrated Water Vapor – 14 June 2006 T. Strub & T. Haack

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 7/19 A B Cape Blanco Cape Mendocino Mixing ratio (g/kg) 6-hrly profiles from grid 3 (  x=5 km) COAMPS  1 Height (km) Height (km) Point A Point B 12 UTC 18 UTC 00 UTC 2) What models are available for making the wet delay correction, what in situ or remotely sensed data do they assimilate, and how should they be interpolated ? A and B points separated by ~100km, ~30-50 km from the coast.  Shows significant differences between A and B atmospheres  Shows diurnal variation of water vapor profile for the 2 points Strong spatial and temporal humidity variations T. Haack

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 8/19  The same way as the other radiometers (SSM/I, TMI, AMSU…)  Land emissivity nearly twice sea emissivity + more variable in space and time  For a surface temperature of 300K, a 10% land contamination in the sea pixel will increase the TB of more than 10K  several centimenters !  Classical retrieval algorithms developed assuming sea surface emissivity modelling are no more valid 3) How are water vapor radiometers on board altimeters affected by land in the footprint ?

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 9/19 TB contamination by land depends on:  radiometer antenna pattern (gaussian shape, defined by the resolution 3dB)  land surface emissivity and temperature  proportion of land in the footprint TBland=250K TBsea=150K 3) How are water vapor radiometers on board altimeters affected by land in the footprint ? Simulation on a simple case

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 10/19 TOPEX track TMR 21 GHz TBs (K) 3) How are water vapor radiometers on board altimeters affected by land in the footprint ? TB contamination Some example of real data 1- Land/sea transition 2- Overpassing of Ibiza Island 3- Track tangent to the coast We simulate quite well the contamination so correction is feasible…

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 11/19 Coastal Impact on SSM/I IWV  SSM/I-derived integrated water vapor normalized by latitude and value 1000 km normal to shore  Composite profile suggests land influence for distance lower than 150 km from coast  Depends on radiometer antenna pattern Composite from 2274 days between without atmospheric river events 3) How are water vapor radiometers on board altimeters affected by land in the footprint ? G. Wick

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 12/19 3) How are water vapor radiometers on board altimeters affected by land in the footprint ? Near sidelobes Mainbeam Far sidelobes Land contamination can be divided into three categories Far sidelobe contamination ( > 75 km from coast)  Correctable to acceptable levels (~ 1mm) Near sidelobe contamination (25 – 75 km from coast)  More difficult, but correction is possible (~2-4 mm) Main beam contamination ( 0 – 25 km from coast)  Very difficult to correct (>2cm) PD Error vs Distance to Coast MainbeamNear sidelobesFar sidelobes S. Brown

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 13/19 4) How should radiometer data be processed ? Post processing methods F. Mercier Principle: 1°/ to identify several configuration types 2°/ to define corresponding correction algorithms 3°/ to compute a composite correction profile Open Ocean (> 50 km)  radiometer Transition  model shifted to the value of the last valid radiometer correction Small hole  interpolation between the last valid radiom. Corr. Of each side of the hole Large Hole  Model (shift + slope) Coastal path -- > model

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 14/19 Lessons learned II – Beyond flags: new editing strategy Screening profiles rather than single values Reconstructing /extrapolating profiles where possible Much more data on average than using standard editing (more in “Data editing” session …) 4) How should radiometer data be processed ? Post processing methods S. Vignudelli

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 15/19 Analytical methods of correction based on the proportion of land in the footprint p = land/sea mask smoothed by the antenna pattern 4) How should radiometer data be processed ? Processing methods 1- Land/sea transition 2- Overpassing of Ibiza Island 3- Track tangent to the coast  Previous decontamination of the TBs  Or retrieval algorithms function of p

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 16/19 4) How should radiometer data be processed ? Processing methods Optimal combination of radiometer measurements and meteorological model estimations Use of a 1d variationnal method  Background information (atmospheric profiles) provided by a meteorological model  Land emissivity values from atlases computed by Karbou et al  Proportion of land in the pixel  Humidity profiles are adjusted to minimize the difference between simulated and measured brightness temperatures

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 17/19  Use of higher frequencies much better spatial resolution (~5km instead if 30km) Less sensitive to land contamination Radiometer design for future altimetry missions ? AMSU-A 23.8 GHz AMSU-B GHz 0 100km0 180K 210K

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 18/19  Addition of 92,130,166 GHz to traditional GHz design  High frequency channels used to estimate water vapor when traditional low-frequency channels become contaminated by land  Simulated PD retrieval performances better than 1cm at distances of 3km from land Radiometer design for future altimetry missions ? Simulated TBs approaching coast Extrapolated Path Delay Linear extrap. Quadratic extrap. - True PD - HF Extrap. - LF PD S. Brown

Coastal Altimetry Meeting, Silver Spring, 5-7 February 2008Page n° 19/19 SUMMARY  Coastal water vapor is highly variable in space and time  Small scale structures are hardly predictable with present models despite their constant improvements  Microwave radiometers onboard altimetry missions are strongly contaminated by land, like the other ones…  Different interesting post-processing and processing methods are proposed to improve the coastal products…on going studies Solutions:  use of GPS measurements to provide or validate new products  combination of models and radiometer information  use of high frequencies radiometer to get a much better spatial resolution