Project CLEAN addresses the cumulative impact and risk associated with multiple stressors in High North ecosystems. The project investigates how climate change, short and long-range transported pollutants, species invasions, and human activities, such as harvesting and aquaculture, jointly affect ecosystems, including their goods and services. Further, CLEAN evaluates the management challenges and options for reducing cumulative impact.

Link: https://framsenteret.no/forskning/clean/

Rasmus Benestad, 2023-03-17

Development: to support ongoing climate research and analysis.  

Main results: The tool 'esd' (R-package) for handeling data, processing, analysis visualisation and downscaling. Available from github.com/metno/esd. The acronym stands for 'extreme simple data'. The tool is under constant and ongoing developement and is also meant to assist analysis of global and regional climate models as well as reanalyses and other types of observational data. 

A "Heavy MET talk" on YouTube gives an introduction to the analytical tool 'esd'.

Partners: MET Norway 

R. Benestad, 2020-04-24.

Long title: Exposure to heat and air pollution in EUrope – cardiopulmonary impacts and benefits of mitigation and adaptation.

About the project: The EXHAUSTION project aims to quantify the changes in cardiopulmonary mortality and morbidity due to extreme heat and air pollution (including from wildfires) under selected climate scenarios while including a diverse set of adaptation mechanisms and strategies, calculate the associated costs, and identify effective strategies for minimizing adverse impacts.

Methods used: Dynamical downscaling with the WRF and WRF-Chem models. Regional chemistry modelling using the WRF-Chem, DEHM and SILAM models.

Partners: CICERO, Universitetet i Oslo, Folkehelseinstituttet, Aarhus Universitet, HMGU, Universidade do Porto, ANM, NKUA, London School of Hygiene and Tropical Medicine, LISER, ASL ROMA, FMI, Infodesignlab, DRAXIS

Link and contact information: Project site at exhaustion.eu.

EU Horizon 2020.

Ø. Hodnebrog, 2020-10-13.

Long title: Quantifying Climate Impacts of Future Forest Management Strategies in Norway.

About the project: The project aims to provide robust scientific knowledge of relevance for designing policies for climate mitigation and sustainable management of Norwegian forest resources.

Methods used: Dynamical downscaling with the WRF model.

Partners: CICERO,  NTNU, NIBIO

Link: Project site at CICERO.

Norwegian Research Council.

Ø. Hodnebrog, 2020-10-15.

Long title: Quantifying Impacts of South Asian Aerosols on Regional and Arctic Climate.

Main objective: Quantify regional and Arctic climate impacts of South Asian aerosol emissions, by updating present emission inventories and tracing the aerosol impacts through teleconnections, and physical and chemical processes.

Methods used: Dynamical downscaling with the WRF-Chem model.

Partners: CICERO, IITM

Link: Project site at CICERO.

Norwegian Research Council.

Ø. Hodnebrog, 2020-10-15.

Long title: Southeast African flagship pilot study on climate research

Main objective: Develop regional climate modelling capacity and provide regional climate projections for southeast Africa.

Methods used: Analysis of RCM results, R-based climate data analysis and empirical-statistical downscaling (ESD). Harmonise the regional climate research activity with World Climate Research Programme's CORDEX project.

Lead Institution: Mozambique Meteorological Institute (INAM).

Partners:The Norwegian Meteorological Institute, Eduardo Mondlane University; Mozambique, University of Malawi, Malawi; Tanzania Meteorological Agency (TMA), Tanzania; Cape Town Univ., South Africa; Department of Climate Change and Meteorological Services; Malawi; Meteorological Services Department, Zimbabwe; Mozambique Research and Education Network (MoRENet), Mozambique; Kenya Meteorological Department, Kenya; Rwanda Meteorology Agency, Rwanda; Meteo Burundi, Burundi; ACMAD (African Center of Meteorological Applications for Development); SOUTH AFRICAN WEATHER SERVICE, South Africa.

Link: https://seacrfps.wordpress.com/.

Unfunded, but an outcome of the NDF-funded MIMOZA - Mozambique Hydromet Project coordinated by the UK MetOffice.

R. Benestad, 2021-06-16

Long title: GREenhouse gases, Aerosols and lower atmospheric Turbulence.

Primary objective: Quantify the link between climate change and lower atmospheric turbulence.

Methods used: Dynamical downscaling with the WRF model.

Partners: CICERO, NILU

Link: Project site at RCN.

Norwegian Research Council.

Ø. Hodnebrog, 2020-10-13.

Long title: Developing resilience and tolerance of crop resource use efficiency to climate change and air pollution.

About the project: Develop process-based crop modelling to understand how climate change and air pollution in combination will impair resource use efficiency of rainfed wheat in Europe.

Methods used: Dynamical downscaling and regional chemistry modelling with the WRF-Chem model.

Partners: SEI York, CICERO, JRC, Univ. Bonn, Agrathaer, Meteo Romania, CREA, AFAHC, CIEMAT

Link and contact information: Project site at suscap.wordpress.com.

Funded through ERA-Net under EU Horizon 2020.

Ø. Hodnebrog, 2020-10-13.

Long title: SUb-daily Precipitation Extremes in highly-populated Regions.

Primary objective: Quantify the influence of anthropogenic activity on sub-daily extreme precipitation in highly populated regions.

Methods used: Dynamical downscaling with the WRF model.

Partners: CICERO, University of Leeds, If Insurance

Link and contact information: Project site at CICERO.

Norwegian Research Council.

Ø. Hodnebrog, 2020-10-13.

Long title: The Big Data and Climate Frontier.

Main objective: The primary objective of FRONTIER is to mitigate future challenges associated with the exponential increase in climate model data expected over the next decade using smart design processes and Big Data methods.

Methods used: Analysis of large ensembles of dynamically downscaled data e.g. EURO-CORDEX, with novel lagrangian metrics, clustering and Design of Experiment techniques.

Lead Institution: NORCE, Bjerknes Centre for Climate Research.

Partners: National Centre for Atmospheric Research, USA and Federal University at Rio Grande do Norte, Brazil.

Link: Project site at NORCE.

Norwegian Research Council.

P.A. Mooney, 2020-12-01

The LATICE (Land-ATmosphere Interactions in Cold Environments) project brings a focus on cold-region land surface exchange processes within earth system sciences with the vision to better predict current and future climate and land surface states. It combines high resolution observational systems, field, and modelling efforts. 

Link: mn.uio.no/latice

The LATICE strategic research initiative funded by the Faculty of Mathematics and Natural Sciences at the University of Oslo.

Y. A. Yilmaz, 2020-10-13

Research question: How to model land slide hazards caused by climatic factors.

Conclusion: 

Methods used: Analysis of observations, empirical-statistical downscaling, and intensity-duration-frequency (IDF) curves to quantify probabilities connected to heavy rainfall. Analyse and provide warnings for earth and rock slide events connected with severe meteorological and climatological conditions. 

Partners: SINTEF, NTNU, Met Norway

Link: https://www.sintef.no/projectweb/klimadigital/

Norwegian Research Council.

R. Benestad, 2020-06-04.

Long title: Ice monitoring, forecasting, mapping, prevention and removal toolbox.

Primary objective: Develop methods for mapping, preventing, monitoring, forecasting, and removing ice on power lines.

Methods used: Dynamical downscaling with the WRF model.

Partners: Statnett, Kjeller Vindteknikk, EFLA, CICERO, Universitetet i Tromsø, I2G, NCAR, Landsnet

Link and contact information: Project site at Statnett.

Norwegian Research Council.

Ø. Hodnebrog, 2020-10-13.

Long title: HYdropower and PREcipitation trends.

Primary objective: Study historical and future precipitation trends in selected areas of interest for Statkraft.

Methods used: Dynamical downscaling with the WRF model.

Partners: CICERO, Statkraft 

Link: Project site at CICERO.

Norwegian Research Council.

Ø. Hodnebrog, 2020-10-13.

Research question: How agricultural yields are affected by climate change and pollution in India.

Main conclusion: Increased temperatures will result in more heatwaves which are expected to lower the wheat yields in parts of India. 

Methods used: Dynamical downscaling (WRF) and ESD.

Partners: Cicero, UiO, NMBU, Met Norway, SEI-Y, UK, BHU, India, SusKat, Universidade Federal de Viçosa, SLU.

Link: project site at CICERO.

Norwegian Research Council.

R. Benestad, 2020-06-04

Research question: Can ESD be trained with RCM data ("hybrid downscaling") to provide complete maps of temperature and rainfall change, and can this analysis also be extended to other global climate models? ("emulation").

Main conclusion: The use of hybrid downscaling is a promising downscaling strategy. 

Methods used: Hybrid downscaling, combining dynamical and empirical.statistical downscaling. Also weather generators or input on hydrological modelling.

Partners: NORCE, NVE, Met Norway

Link: project site at NORCE.

Norwegian Research Council.

R. Benestad, 2020-06-04.

Research question:

Main conclusion:

Methods used:

Partners: 

Link: 

Norwegian Research Council.

author of this text block & date.

Research question: Exploring the impact of climate change on transport in Indian Mega-Cities: Delhi, Mumbai and Bangalore.

Main conclusion: An increased frequency of extreme hot days can be expected with a continued global warming.

Methods used: Both RCM and ESD were used in this project, the former to address questions of air quality and the latter to calculate statistics on hot days. 

Link: https://www.toi.no/climatrans/

Norwegian Research Council.

R. Benestad, 2020-06-04

Research question: Future climate change in Poland and implications for the hydrology. 

Main conclusion: The selection of global climate model run to downscale has an important consequence to the projections for the future; results from dynamical and empirical-statistical downscaling were similar for temperatures in Poland but somewhat different for the precipitation. 

Methods used: Dynamical and empirical-statistical downscaling.

Link: http://www.chase-pl.pl/

EEA

R. Benestad, 2020-06-04

Research question: The relevant climate projections are typically associated with severe inherent uncertainty and it is critical that the decision-making appropriately accounts for this.

Main conclusion: Statistical methods can be used to improve the uncertainties.

Methods used: Statistical methods to improve estimation of local sea level, empirical-statistical downscaling of of storm track density, large multi-model ensembles of global climate models.

Partners: Norwegian computing Centre, Bjerknes Centre for Climate Research, Danish Meteorological Institute, Finnish Meteorological Institute, Norwegian Meteorological Institute, Technical University of Denmark

Link: https://www.nr.no/en/projects/statistical-analysis-climate-projections-esacp

NordForsk.

R. Benestad, 2020-06-04

Long title: Natural and Anthropogenic influence on Precipitation and EXtreme events

Primary objective: Establish an international project to investigate whether the large difference in simulated precipitation changes between various global climate models is caused by different abundance and distribution of climate drivers.

Methods used: Dynamical downscaling with the WRF model.

Partners: CICERO, University of Leeds, NASA GISS, Kyushu University

Link and contact information: Project site at CICERO 

Norwegian Research Council.

Ø. Hodnebrog, 2020-10-13

Long title: Translating Weather Extremes into the Future – a case for Norway

About the project: TWEX-Future will take a novel “Tales of future weather” approach in which we use scenarios tailored to a specific region and stakeholder in combination with numerical weather prediction models. This approach will offer a more realistic picture of what future weather extremes might look like, hence facilitating adaptation planning and implementation with local, actionable and reliable climate information to support the decision-making under consideration of various barriers to adaptation.

Methods used: Dynamical downscaling with the AROME model.

Partners: CICERO, Met Norway, Statkraft, KNMI, Univ. of Bergen, NLeSC

Link and contact information: Project site at CICERO 

Norwegian Research Council.

Ø. Hodnebrog, 2020-10-15

Research question: Can Model Output Statistics improve decadal forecasts for Europe and can empirical-statistical downscaling (ESD) of wet-day frequency and mean precipitation provide useful information about daily precipitation statistics?

Main conclusion:  Improved statistical modelling of precipitation statistics. 

Methods used: Model output statistics (MOS)

Link: https://cordis.europa.eu/project/id/308378

EU-FP7

R. Benestad, 2020-06-04

Research question: The effect of climate change on hydrology and glaciers in the Himalayas and India. 

Main conclusion: Capacity building in India in terms of (R-based) data analysis and empirical-statistical downscaling (ESD) supported by the esd-package. 

Methods used: Dynamical downscaling using WRF over the South Asia CORDEX domain.

Link: https://www.nve.no/hydrology/indice-project/

Norwegian Research Council.

R. Benestad, 2020-06-04

Research question: Downscaling future climate change in Norway based on dynamical and empirical-statistical downscaling.

Main conclusion: Warmer and wetter future climate. Downscaling of two different global climate models gave quite different results because of different realisations of natural variability. 

Methods used: Dynamical and empirical-statistical downscaling.

Partners: Havforskningsinstituttet, Geofysisk Institutt Universitetet i Bergen, Nansen Senter for Miljø og Fjernmåling, Institutt for geofag Universitetet i Oslo, MET Norway

Link: http://regclim.met.no/

Omtale: https://www.bjerknes.uib.no/artikler/nyheter/regclim

Norwegian Research Council.

R. Benestad, 2020-06-04