Atmospheric Remote Sensing Projects

SMHI atmospheric remote sensing research unit is involved in many national and international projects. Here below, these projects are listed alphabetically with a short summary.

Climate SAF

The CM SAF project is generating, evaluating and archiving high-quality cloud products from satellite data. The products allow detailed analyses of cloud conditions and cloud properties, atmospheric radiation (radiation budget components at surface and at top of atmosphere) and the atmospheric content of water vapour. SMHI focuses on CM SAF cloud products for which we have a supervising and coordinating role within the project.

Funding: EUMETSAT
Period: since 1999
Contact at SMHI: Karl-Göran Karlsson

CMSAF at SMHI

DNICast

The objective of the project is to provide reliable forecasts of the direct normal irradiance (DNI) using concentrating solar technologies (CST) to operators of power plants. SMHI works on improving DNI forecasts using numerical weather prediction (NWP) models. The challenge is to make progress for the shorter time range in order to make DNI nowcasts based on NWP for the 240 minute time horizon.  SMHI intends to use rapid model updates (every hour) and assimilation of high resolution (5 - 15 min in time and 1 - 3 km in space and a time window of about 1 hour) satellite imagery for general sky conditions.

Funding: FP7
Period: 2013-2017
Contact at SMHI: Heiner Körnich.

DNICast

IMPREX

Future hydrological extremes may be very different from today's reality and difficult to predict. The objective of IMPREX is to support the reduction of Europe’s vulnerability to hydrological extremes through improved understanding of the intensity and frequency of future disrupting events. The role of SMHI is threefold; first to provide date from dynamical downscaling with non-hydrostatic regional climate models in very high resolution, second to improve of short-term (days) prediction of extreme precipitation events by assimilating surface remote sensing data regarding snow and soil moisture in the Harmonie NWP model, and third to improve hydrological (E-HYPE) forecast skills of extreme events through data assimilation and multi-model combination across time scales. The forecasts will be evaluated in a number of case studies.

Funding: Horizon 2020

Period: 2015-2019

Contact at SMHI: Erik Kjellström

IMPREX

Improved evaluation of solar electricity production for increased investments in PV technology

The project goal is to increase the investments in PV technology by describing how data of solar irradiance and temperature can be processed to generate accurate evaluations of forecasted solar electricity generation in Sweden. SMHI participates as a provider of solar irradiance measurements and by offering scientific advice regarding solar radiation modelling.

Funding: Swedish Energy Agency

Period: 2015-2016

Contact at SMHI: Tomas Landelius.

PV in solar electricity production

Nowcasting SAF

The general objective of the NWC SAF is to provide operational services to ensure the optimum use of meteorological data in nowcasting and very short range forecasting. At SMHI we are responsible for the development and maintenance of a software package (the PPS-package) to process the products from data gathered from NOAA and Metop satellites.

Funding:EUMETSAT

Period: since 1997

Contact at SMHI: Anke Thoss

NWC SAF at SMHI

RSLand

The objective is to improve meteorological and hydrological model forecasts on the km-scale by assimilating satellite radiance and backscatter data regarding the Earth's surface and near-surface properties using modern ensemble Kalman filter (EnKF) techniques.The work is carried out by SMHI

Funding: SNSB

Period: 2015-2018

Contact at SMHI: Thomas Landelius

RSLand

STRÅNG- development

The objective of the project is twofold. First the STRÅNG system needs to be adapted to the region and output of the new operational numerical weather prediction model, and second the model should be improved in a number of areas (e.g. albedo, aerosols, inconsistency between global and direct radiation)

Funding:SMHI, NV, SSM

contact at SMHI: Thomas Landelius

STRÅNG- development

SIMSAT

Satellite product simulators simulate what would be observed by satellite instruments if the underlying atmosphere was that of the model. This allows for a fairer/more useful comparison between models and observations.The project aim is to develop, test and publish two different satellite product simulators, the EUMETSAT CMSAF simulutor and the ESA Cloud_cci simuator. The work is carried out art SMHI in colloboration with European partners.

Funding: SNSB

Period: 2015-2018

Contact at SMHI: Salomon Eliasson

SIMSAT

UERRA

The UERRA project will provide long-term datasets of Essential Climate Variables (ECVs) on the European regional scale in order to support adaptation action and policy development. The project objective is to develop and run an ensemble system of regional reanalyses for the climatological time scale. The information content of the datasets and their uncertainties will be assessed in several ways.

Funding: European Union's Seventh Framework Programme under grant agreement No 607193

Period: 2014-2017

Contact at SMHI: Per Undén

UERRA

Archive

EURO4M

The overall goal of EURO4M was to develop the capacity for, and deliver the best possible and most complete (gridded) climate change time series and monitoring services covering all of Europe. These enable adequate descriptions of the status and evolution of the Earth system components. More specifically the four objectives of EURO4M were: 1. generate time series of observation datasets and reanalyses of past observational data; 2. produce innovative and integrated high-quality data products for research and applications sector users; 3. reach out with data products and climate change services to the user community, stakeholders, policy-makers, and general public; 4. evolve into a future GMES service on climate change monitoring that is fully complimentary and supporting the existing core services.

Funding: European Union's Seventh Framework Programme under grant agreement No 242093.

Period: 2010-2013

Contect at SMHI: Per Undén

EURO4M

VINDRAD+ Gap-filling radars as a method for reducing the conflict between weather radars and wind turbines

VINDRAD+ will develop methods to evaluate the quality of data from a gap-filling radar and implement them in a calculation tool. The calculation tool will be able to handle wind turbine applications from everywhere in Sweden and will serve as a basis for decision by the Swedish Armed Forces. This will result in a fast and objective processing of wind turbine applications, taking into account both main- and gap-filling radar.

Funding: Swedish Energy Agency

Period: 2013-2015

Contact at SMHI: Anke Thoss

VINDRAD+

Wind turbine filter for weather radar

The project will investigate the feasibility to implement a wind turbine filter into the signal processor of modernised weather radars.

Funding: Swedish Energy Agency

Period: 2016-2017

Contact at SMHI: Anke Thoss

Wind turbine filter