Helsinki Testbed - a contribution to NASA's Global Precipitation Measurement (GPM) mission

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Helsinki Testbed - a contribution to NASA's Global Precipitation Measurement (GPM) mission Ubicasting workshop, September 10, 2008 Jarkko Koskinen, Jarmo Koistinen, Jouni Pulliainen, Elena Saltikoff, David Schultz / FMI Heikki Pohjola / Vaisala Sabine Göke, Dmitri Moiseev, Timo Nousiainen / UH Marko Mäkynen, Martti Hallikainen / TKK Bertel Vehviläinen / Syke 12.9.2008

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Finland has four seasons The annual snow cover settles during October to November Mean maximum water equivalent vary from 100 to 200 mm The snow melt usually begins from March to May Helsinki Testbed A high latitude mesoscale testbed Helsinki Testbed research topics Water phase: rain/snow/mixed Visibility: fog and precipitation phase and intensity Inversion height and strength Air quality model Sea breeze Sensitivity tests with local area models Road surface radiation balance model http://testbed.fmi.fi Public real time data 12.9.2008

US-Finnish co-operation Finnish proposal for PMM-team accepted Concentrates, especially, on winter precipitation in high latitudes Work to be completed at two test sites in Finland: Helsinki Testbed Sodankylä-Pallas Contains 5 Work Packages with special emphasis on Ground validation Validation of GPM algorithms for high latitudes Research related to microphysics of precipitation Research related to snow cover, emission and hydrology Ilmatieteen laitos / PowerPoint ohjeistus 12.9.2008 8

WP 1. Precipitation Process Studies The purpose is physical process study and characterization of snow, mixed phase and liquid precipitation within the Helsinki Testbed (HTB) Research efforts will be coordinated with other PMM projects to provide relevant information to PMM/GPM precipitation retrieval algorithm developers. These physical process studies will also be extended to quantitative precipitation estimation algorithms US- Finnish in situ measurement campaigns Ilmatieteen laitos / PowerPoint ohjeistus 12.9.2008 9

DDA-simulation of polarimetric scattering Modeling of microphysics of precipitation Modeling of polarimetric quantities applying a general scattering model for remote sensing applications (DDA) So far the DDA-model has been applied in microwave scattering from snow cover and from the boreal forest Comparison to real measurements => algorithms for diagnostics Ilmatieteen laitos / PowerPoint ohjeistus 12.9.2008 10

WP2. Falling Snow Algorithm Development for GPM Specific purpose of this work: To investigate the vertical structures of falling snow events through the use of VPR reflectivities and dual-pol variables, to perform a joint statistical/histogram analysis between reflectivity profile characteristics and AMSU-B, CLOUDSAT satellite brightness temperatures, to amass a database of coincident (or ensemble of coincident) datasets containing VPR reflectivities, surface and atmospheric observations, and AMSU-B observations. Ilmatieteen laitos / PowerPoint ohjeistus 12.9.2008 11

SFWE = Snow Fall Water Equivalent GPM estimates Radar estimates SFWE(Z e ) In situ estimates (SFWE) gauges, POSS etc Real snowfall at ground including density Snow cover (link e.g. to Hydrology SAF) Ground reference process of GPM snowfall measurements GV main tasks WMO intercomparison Significant challenges are hiding here Must be corrected in snowfall Calibrations Wind correction Ilmatieteen laitos / PowerPoint ohjeistus 12.9.2008 12

WP3. GPM Hydrology Studies Specific purposes of this work: To investigate the land surface emissivity/brightness temperature and radiance/reflectance at frequencies to be sampled by GPM, including more generally the effect of the land surface on precipitation retrieval accuracy the development and analysis of a joint database to investigate various downscaling approaches for hydrological application of GPM products Test of satellite precipitation product in the operational forecasting system WSFS at Finland Ilmatieteen laitos / PowerPoint ohjeistus 12.9.2008 13

WP4. Snow emission and backscattering modeling The purpose of this investigation is to improve the retrieval of snow depth and snow water equivalent (SWE), using satellite instruments such as AMSR-E, The physical components to be incorporated into the emerging snow algorithms (emission models) include forest canopy on emission of the underlying snowpack, varying snow crystal size on emission and scattering the evolution of the snowpack through the course of the snow season. Currently FMI is running two international projects that provide daily/weekly snow information from Eurasia HydroSAF Eumetsat Polarview ESA GMES Ilmatieteen laitos / PowerPoint ohjeistus 12.9.2008 14

TKK snow emission model Background Semi-empirical model simple enough to be used for parameter retrieval from space-borne or airborne data Basic characteristics Scalar radiative transfer model for single snow layer Semi-empirical formulas for snow permittivity and extinction coefficient Empirical coefficient for radiation contribution scattered in snow layer Incoherent approach used for medium boundary effects Soil-snow reflectivity by empirical soil emission models Empirical formulas for atmospheric and forest cover effect

SWE map over Northern Eurasia March 8th, 2007 The method is based on Bayesian data assimilation approach where the maximum value of the conditional probability of SWE for the location under investigation given the time series of radiometer observations and in situ observations Near real time maps available online: http://snow.fmi.fi Ilmatieteen laitos / PowerPoint ohjeistus 12.9.2008 16

WP5. Validation of Current and Future Satellite Precipitation Products at High Latitudes This collaborative effort will utilize ground estimates of precipitation from the two Finnish test sites to compare with existing and developing satellite precipitation products during all seasons Helsinki Testbed (HTB) and Sodankylä Pallas There are two major objectives in this collaboration: Compare daily merged satellite precipitation estimates to HTB in situ measurements Develop ground based comparison products using radar and raingauge to compare with daily and higher resolution precipitation products involving single and multiple satellites Ilmatieteen laitos / PowerPoint ohjeistus 12.9.2008 17

Future Co-operation has been initiated NASA field campaigns in Helsinki Testbed Possibility for joint campaign with Cloudsat, GPM and ESA Earthcare mission in fall 2009 GPM cold climate campaigns in 2012 and 2014 GPM GV workshop in Helsinki in 2010 Ilmatieteen laitos / PowerPoint ohjeistus 12.9.2008 18