ESA-JAXA Pre-Launch EarthCARE
Science and Validation Workshop
13 – 17 November 2023 | ESA-ESRIN, Frascati (Rome), Italy

EarthCARE validation activities in Finland
Dmitri Moisseev1,2, Bernd Mom1, Matti Leskinen1
Ewan O’Connor2, Annakaisa von Lerber2, Jani Tyynelä2
1University of Helsinki, 2Finnish Meteorological InstituteACTRIS cloudprofiling stations

Pallas Kenttärova

FMI weather radar
network
Hyytiälä:CL61 ceilometer
HALO 46 Doppler lidar
HATPRO-G5RPG-FMCW-94+ precip. instruments
Pallas-Kenttärova:
CL61 ceilometer
HALO 146 Doppler lidar
RPG-FMCW-94-DP

KuopioHyytiälä
Hyytiälä (62 N) andPallas (68 N): EarthCARE
overpasses every 2-3
days (<100 km)

11 (+1) C-band Dual-polarization
weather radars

Physical validation: icemicrophysics

Ground-based RS of clouds

Application of weather radarobservations for calval
Validation of precipitation products

Correlative data for validation of LVL2
cloud and precipitation products
Observations: PSD, v(D), particle shape,
precip rate
Retrieved: m(D) and validation ofparticle scattering tables
Measurements since 2014. Started as a part ofNASA GPM GV, and BAECC experiment (AMF2)

Validation of snowfall rate (similar towhat we have done for NASA GPM)

Development of new products as part
ACTRIS and CERTAINTYCERTAINTY: van Zadelhoff (Mon)ESA-JAXA Pre-Launch EarthCARE Science and Validation Workshop | 13 – 17 November 2023 | ESA-ESRIN, Frascati (Rome), Italy

Validation of EarthCARE Doppler
observations (L. Baldini and M. Montopoli)Physical validation: ice microphysics
Snowfall microphysical properties observed in Hyytiälä

Relationship between a and b (m = aDb)

Environmental conditions

PIP observations of• particle size distribution (PSD)• particle fall velocity• particle dimension characteristics
Snowflake mass retrieval of the falling particles(von Lerber et al., 2017)

Normalized PSD

Ice cloud above rain
Currently there is no IWC
estimation above rain,
because of unknown
attenuation (radome,rain, and ML)
Estimation of radome and rain attenuation(from disdrometer observations)

Melting layer attenuation estimation from multifrequency Doppler spectra observations (Li andMoisseev, 2019)

Li & Moisseev (2019) JGR:
https://doi.org/10.1029/2019JD030316

Raindrop sedimitation velocity from dual-polarization radarobservations
The relation iscomputedfrom 2 yearsof disdrometerobservations

Differential reflectivity, dB• Weather radars provide large spatial coverage => easy to match with EarthCARE observations• Dual-polarization weather radar observations can be linked to raindrop sizes and fall velocities• From dual-pol radar observations we can estimate EarthCARE velocity measurements in rain• University of Helsinki Kumpula radar observations and computed EarthCARE
velocity in rain
• This approach can be applied to observations collected at various locations (i.e.
Italy, USA, …) providing validation of EarthCARE Doppler measurements at different
latitudes

SUMMARY
Physical validation: ice microphysics
Measurments that started in 2014 as a part of NASA GPM and ARM BAECC experimentcontinue. More than 9 years of observations snowfall microphysics(W-band radar Feb – Sept 2014, and after Novemebr 2017)
Correlative validation
Use of ACTRIS Cloudnet observations for EarthCARE cal/val are part of CERTAINTY projectDirect validation of Doppler observations
As a part ESA ACPV project method for validation of EarthCARE Doppler velocity
observations using weather radar measurments (in collaboration with L. Baldini and M.
Montopoli)
ESA-JAXA Pre-Launch EarthCARE Science and Validation Workshop | 13 – 17 November 2023 | ESA-ESRIN, Frascati (Rome), Italy