07 Jul 2017
The HIRLAM fast radiation scheme for mesoscale numerical weather prediction models
Finnish Meteorological Institute, Helsinki, Finland
Emily Gleeson
Research, Environment and Applications Division, Met Éireann, Dublin, Ireland
Petri Räisänen
Finnish Meteorological Institute, Helsinki, Finland
Kristian Pagh Nielsen
Department of Research and Development, Danish Meteorological Institute, Copenhagen, Denmark
Hannu Savijärvi
Department of Physics, University of Helsinki, 00014 Helsinki, Finland
Bent Hansen Sass
Department of Research and Development, Danish Meteorological Institute, Copenhagen, Denmark
Related authors
Emily Gleeson, Stephen Outten, Bjørg Jenny Kokkvoll Engdahl, Eoin Whelan, Ulf Andrae, and Laura Rontu
Adv. Sci. Res., 17, 255–267, https://doi.org/10.5194/asr-17-255-2020, https://doi.org/10.5194/asr-17-255-2020, 2020
Short summary
Short summary
The single-column version of the shared ALADIN-HIRLAM numerical weather prediction system, called MUSC, was developed by Météo-France in the 2000s and has a growing user-base. Tools to derive the required input, to run experiments and to handle outputs have been developed within the HARMONIE-AROME configuration of the ALADIN-HIRLAM system. We also illustrate the usefulness of MUSC for testing and developing physical parametrizations related to cloud microphysics and radiative transfer.
Laura Rontu, Kalle Eerola, and Matti Horttanainen
Geosci. Model Dev., 12, 3707–3723, https://doi.org/10.5194/gmd-12-3707-2019, https://doi.org/10.5194/gmd-12-3707-2019, 2019
Short summary
Short summary
Numerical weather prediction model HIRLAM includes prognostic treatment of lake surface state since 2012. Forecast is based on the Freshwater Lake model (Flake). We compared the predicted lake water temperature, freeze-up and break-up dates as well as the ice thickness and snow depth during six years over 45 lakes in Finland against observations by Finnish Environment Institute. Water surface temperatures and freezing of lakes were well predicted but the ice tended to melt too early in spring.
Laura Rontu, Joni-Pekka Pietikäinen, and Daniel Martin Perez
Adv. Sci. Res., 16, 129–136, https://doi.org/10.5194/asr-16-129-2019, https://doi.org/10.5194/asr-16-129-2019, 2019
Short summary
Short summary
Radiative transfer calculations in numerical weather prediction (NWP)
and climate models require reliable information about aerosol
concentration in the atmosphere, combined with data on aerosol optical
properties. Data from the Copernicus atmosphere monitoring service
(CAMS) and European Centre for Medium-Range Weather Forecasts (ECMWF)
were implemented to the limited area, short-range HARMONIE-AROME NWP
model.
Laura Rontu and Anders V. Lindfors
Adv. Sci. Res., 15, 81–90, https://doi.org/10.5194/asr-15-81-2018, https://doi.org/10.5194/asr-15-81-2018, 2018
Short summary
Short summary
Global radiation forecasts by HARMONIE-AROME numerical weather prediction model were compared to observations over Finland in spring 2017 when convective clouds, rain and snow showers were frequent. In HARMONIE-AROME, three different schemes for parametrization of the atmospheric radiation transfer are available. Differences between the schemes and observations showed up especially as variations in the hourly scale. The results by the schemes were closer to each other than to the observations.
Emily Gleeson, Velle Toll, Kristian Pagh Nielsen, Laura Rontu, and Ján Mašek
Atmos. Chem. Phys., 16, 5933–5948, https://doi.org/10.5194/acp-16-5933-2016, https://doi.org/10.5194/acp-16-5933-2016, 2016
Short summary
Short summary
The direct shortwave (SW) radiative effect of aerosols under clear-sky conditions in the ALADIN-HIRLAM numerical weather prediction system was investigated using three SW radiation schemes in diagnostic single-column experiments. Each scheme accurately simulates the direct SW effect when observed aerosols are used, particularly for heavy pollution scenarios.
Markku Kangas, Laura Rontu, Carl Fortelius, Mika Aurela, and Antti Poikonen
Geosci. Instrum. Method. Data Syst., 5, 75–84, https://doi.org/10.5194/gi-5-75-2016, https://doi.org/10.5194/gi-5-75-2016, 2016
Short summary
Short summary
Sodankylä, in the heart of the Arctic Research Centre of the Finnish Meteorological Institute in northern Finland with temperatures ranging from −50 to +30 °C, provides a challenging location for numerical weather forecasting (NWP) models. In this article, the use of measurements performed in Sodankylä for near-real time online verification of NWP models is described. A more specific case study of three different radiation schemes, applicable in NWP model HARMONIE-AROME, is also presented.
K. P. Nielsen, E. Gleeson, and L. Rontu
Geosci. Model Dev., 7, 1433–1449, https://doi.org/10.5194/gmd-7-1433-2014, https://doi.org/10.5194/gmd-7-1433-2014, 2014
Daniel Köhler, Petri Räisänen, Tuomas Naakka, Kalle Nordling, and Victoria A. Sinclair
EGUsphere, https://doi.org/10.5194/egusphere-2024-3713, https://doi.org/10.5194/egusphere-2024-3713, 2024
This preprint is open for discussion and under review for Weather and Climate Dynamics (WCD).
Short summary
Short summary
We study the impacts of globally increasing sea surface temperatures and sea-ice loss on the atmosphere in wintertime. In future climates, the jet stream shifts southward over the North Atlantic and extends further over Europe. Increasing sea surface temperatures drive these changes. The region of high activity of low-pressure systems is projected to move east towards Europe. Future increasing sea surface temperatures and sea-ice loss contribute with similar magnitude to the eastward shift.
Tuomas Naakka, Daniel Köhler, Kalle Nordling, Petri Räisänen, Marianne Tronstad Lund, Risto Makkonen, Joonas Merikanto, Bjørn H. Samset, Victoria A. Sinclair, Jennie L. Thomas, and Annica L. M. Ekman
EGUsphere, https://doi.org/10.5194/egusphere-2024-3458, https://doi.org/10.5194/egusphere-2024-3458, 2024
This preprint is open for discussion and under review for Atmospheric Chemistry and Physics (ACP).
Short summary
Short summary
The effects on polar climates of warmer sea surface temperatures and decreasing sea ice cover have been studied using four climate models with identical prescribed changes in sea surface temperatures and sea ice cover. The models predict similar changes in air temperature and precipitation in the polar regions in a warmer climate with less sea ice. However, the models disagree on how the atmospheric circulation, i.e. the large-scale winds, will change with warmer temperatures and less sea ice.
Joonas Leino, Ari-Matti Harri, Mark Paton, Jouni Polkko, Maria Hieta, and Hannu Savijärvi
Ann. Geophys., 42, 331–348, https://doi.org/10.5194/angeo-42-331-2024, https://doi.org/10.5194/angeo-42-331-2024, 2024
Short summary
Short summary
The 1-D column model has been used extensively in studying the Martian atmosphere. In this study, we investigated the sensitivity of the column model to its initialization. The results of the model were compared with Curiosity rover measurements. The initial value of airborne dust and surface temperature had the greatest influence on the temperature prediction, while the initial atmospheric moisture content and the shape of the initial moisture profile modified the humidity prediction the most.
Kalle Nordling, Jukka-Pekka Keskinen, Sami Romakkaniemi, Harri Kokkola, Petri Räisänen, Antti Lipponen, Antti-Ilari Partanen, Jaakko Ahola, Juha Tonttila, Muzaffer Ege Alper, Hannele Korhonen, and Tomi Raatikainen
Atmos. Chem. Phys., 24, 869–890, https://doi.org/10.5194/acp-24-869-2024, https://doi.org/10.5194/acp-24-869-2024, 2024
Short summary
Short summary
Our results show that the global model is stable and it provides meaningful results. This way we can include a physics-based presentation of sub-grid physics (physics which happens on a 100 m scale) in the global model, whose resolution is on a 100 km scale.
Jens Visbech, Tuhfe Göçmen, Charlotte Bay Hasager, Hristo Shkalov, Morten Handberg, and Kristian Pagh Nielsen
Wind Energ. Sci., 8, 173–191, https://doi.org/10.5194/wes-8-173-2023, https://doi.org/10.5194/wes-8-173-2023, 2023
Short summary
Short summary
This paper presents a data-driven framework for modeling erosion damage based on real blade inspections and mesoscale weather data. The outcome of the framework is a machine-learning-based model that can predict and/or forecast leading-edge erosion damage based on weather data and user-specified wind turbine characteristics. The model output fits directly into the damage terminology used by the industry and can therefore support site-specific maintenance planning and scheduling of repairs.
Petri Räisänen, Joonas Merikanto, Risto Makkonen, Mikko Savolahti, Alf Kirkevåg, Maria Sand, Øyvind Seland, and Antti-Ilari Partanen
Atmos. Chem. Phys., 22, 11579–11602, https://doi.org/10.5194/acp-22-11579-2022, https://doi.org/10.5194/acp-22-11579-2022, 2022
Short summary
Short summary
A climate model is used to evaluate how the radiative forcing (RF) associated with black carbon (BC) emissions depends on the latitude, longitude, and seasonality of emissions. It is found that both the direct RF (BC absorption of solar radiation in air) and snow RF (BC absorption in snow/ice) depend strongly on the emission region and season. The results suggest that, for a given mass of BC emitted, climatic impacts are likely to be largest for high-latitude emissions due to the large snow RF.
Eoghan Keany, Geoffrey Bessardon, and Emily Gleeson
Adv. Sci. Res., 19, 13–27, https://doi.org/10.5194/asr-19-13-2022, https://doi.org/10.5194/asr-19-13-2022, 2022
Short summary
Short summary
This work used machine learning to produce the first open source building height map of Ireland. This map is intended to more accurately determine Local Climate Zones for use in the underlying physiography dataset in the HARMONIE AROME numerical weather prediction model.
Jaakko Ahola, Tomi Raatikainen, Muzaffer Ege Alper, Jukka-Pekka Keskinen, Harri Kokkola, Antti Kukkurainen, Antti Lipponen, Jia Liu, Kalle Nordling, Antti-Ilari Partanen, Sami Romakkaniemi, Petri Räisänen, Juha Tonttila, and Hannele Korhonen
Atmos. Chem. Phys., 22, 4523–4537, https://doi.org/10.5194/acp-22-4523-2022, https://doi.org/10.5194/acp-22-4523-2022, 2022
Short summary
Short summary
Clouds are important for the climate, and cloud droplets have a significant role in cloud properties. Cloud droplets form when air rises and cools and water vapour condenses on small particles that can be natural or of anthropogenic origin. Currently, the updraft velocity, meaning how fast the air rises, is poorly represented in global climate models. In our study, we show three methods that will improve the depiction of updraft velocity and which properties are vital to updrafts.
Kerttu Kouki, Petri Räisänen, Kari Luojus, Anna Luomaranta, and Aku Riihelä
The Cryosphere, 16, 1007–1030, https://doi.org/10.5194/tc-16-1007-2022, https://doi.org/10.5194/tc-16-1007-2022, 2022
Short summary
Short summary
We analyze state-of-the-art climate models’ ability to describe snow mass and whether biases in modeled temperature or precipitation can explain the discrepancies in snow mass. In winter, biases in precipitation are the main factor affecting snow mass, while in spring, biases in temperature becomes more important, which is an expected result. However, temperature or precipitation cannot explain all snow mass discrepancies. Other factors, such as models’ structural errors, are also significant.
Eoin Walsh, Geoffrey Bessardon, Emily Gleeson, and Priit Ulmas
Adv. Sci. Res., 18, 65–87, https://doi.org/10.5194/asr-18-65-2021, https://doi.org/10.5194/asr-18-65-2021, 2021
Short summary
Short summary
In this work, machine learning techniques, satellite data and land-cover data were used to produce a land-cover map for Ireland that shows greater accuracy and resolution than an altered version of the standard land-cover map (ECOCLIMAP-SG) used for numerical weather prediction. This method offers a way to universally improve meteorological land-cover maps across jurisdictions, while also offering a method of updating the map regularly to account for seasonal changes in surface land-covers.
Joonas Merikanto, Kalle Nordling, Petri Räisänen, Jouni Räisänen, Declan O'Donnell, Antti-Ilari Partanen, and Hannele Korhonen
Atmos. Chem. Phys., 21, 5865–5881, https://doi.org/10.5194/acp-21-5865-2021, https://doi.org/10.5194/acp-21-5865-2021, 2021
Short summary
Short summary
Human-induced aerosols concentrate around their emission sources, yet their climate effects span far and wide. Here, we use two climate models to robustly identify the mechanisms of how Asian anthropogenic aerosols impact temperatures across the globe. A total removal of Asian anthropogenic aerosols increases the global temperatures by 0.26 ± 0.04 °C in the models, with the strongest warming taking place over the Arctic due to increased atmospheric transport of energy towards the high north.
Terhikki Manninen, Kati Anttila, Emmihenna Jääskeläinen, Aku Riihelä, Jouni Peltoniemi, Petri Räisänen, Panu Lahtinen, Niilo Siljamo, Laura Thölix, Outi Meinander, Anna Kontu, Hanne Suokanerva, Roberta Pirazzini, Juha Suomalainen, Teemu Hakala, Sanna Kaasalainen, Harri Kaartinen, Antero Kukko, Olivier Hautecoeur, and Jean-Louis Roujean
The Cryosphere, 15, 793–820, https://doi.org/10.5194/tc-15-793-2021, https://doi.org/10.5194/tc-15-793-2021, 2021
Short summary
Short summary
The primary goal of this paper is to present a model of snow surface albedo (brightness) accounting for small-scale surface roughness effects. It can be combined with any volume scattering model. The results indicate that surface roughness may decrease the albedo by about 1–3 % in midwinter and even more than 10 % during the late melting season. The effect is largest for low solar zenith angle values and lower bulk snow albedo values.
Emily Gleeson, Stephen Outten, Bjørg Jenny Kokkvoll Engdahl, Eoin Whelan, Ulf Andrae, and Laura Rontu
Adv. Sci. Res., 17, 255–267, https://doi.org/10.5194/asr-17-255-2020, https://doi.org/10.5194/asr-17-255-2020, 2020
Short summary
Short summary
The single-column version of the shared ALADIN-HIRLAM numerical weather prediction system, called MUSC, was developed by Météo-France in the 2000s and has a growing user-base. Tools to derive the required input, to run experiments and to handle outputs have been developed within the HARMONIE-AROME configuration of the ALADIN-HIRLAM system. We also illustrate the usefulness of MUSC for testing and developing physical parametrizations related to cloud microphysics and radiative transfer.
Andreas Müller, Willem Deconinck, Christian Kühnlein, Gianmarco Mengaldo, Michael Lange, Nils Wedi, Peter Bauer, Piotr K. Smolarkiewicz, Michail Diamantakis, Sarah-Jane Lock, Mats Hamrud, Sami Saarinen, George Mozdzynski, Daniel Thiemert, Michael Glinton, Pierre Bénard, Fabrice Voitus, Charles Colavolpe, Philippe Marguinaud, Yongjun Zheng, Joris Van Bever, Daan Degrauwe, Geert Smet, Piet Termonia, Kristian P. Nielsen, Bent H. Sass, Jacob W. Poulsen, Per Berg, Carlos Osuna, Oliver Fuhrer, Valentin Clement, Michael Baldauf, Mike Gillard, Joanna Szmelter, Enda O'Brien, Alastair McKinstry, Oisín Robinson, Parijat Shukla, Michael Lysaght, Michał Kulczewski, Milosz Ciznicki, Wojciech Piątek, Sebastian Ciesielski, Marek Błażewicz, Krzysztof Kurowski, Marcin Procyk, Pawel Spychala, Bartosz Bosak, Zbigniew P. Piotrowski, Andrzej Wyszogrodzki, Erwan Raffin, Cyril Mazauric, David Guibert, Louis Douriez, Xavier Vigouroux, Alan Gray, Peter Messmer, Alexander J. Macfaden, and Nick New
Geosci. Model Dev., 12, 4425–4441, https://doi.org/10.5194/gmd-12-4425-2019, https://doi.org/10.5194/gmd-12-4425-2019, 2019
Short summary
Short summary
This paper presents an overview of the ESCAPE project. Dwarfs (key patterns in terms of computation and communication) are identified in weather prediction models. They are optimised for different hardware architectures. New algorithms are developed that are specifically designed for better energy efficiency and improved portability through domain-specific languages. Different numerical techniques are compared in terms of energy efficiency and performance for a variety of computing technologies.
Mark Paton, Ari-Matti Harri, Oliver Vierkens, and Hannu Savijärvi
Geosci. Instrum. Method. Data Syst., 8, 251–263, https://doi.org/10.5194/gi-8-251-2019, https://doi.org/10.5194/gi-8-251-2019, 2019
Short summary
Short summary
A software application for streamlining investigations of the Martian atmosphere is described. The main components are a 1-D model of the Martian atmosphere, observations of the Martian atmosphere and a software wrapper. We verify our model using the application. The model and observations agree except over the winter solstice where mechanical heating of the atmosphere, from downward flowing air, is likely warming the atmosphere. We update our model to include this effect.
Laura Rontu, Kalle Eerola, and Matti Horttanainen
Geosci. Model Dev., 12, 3707–3723, https://doi.org/10.5194/gmd-12-3707-2019, https://doi.org/10.5194/gmd-12-3707-2019, 2019
Short summary
Short summary
Numerical weather prediction model HIRLAM includes prognostic treatment of lake surface state since 2012. Forecast is based on the Freshwater Lake model (Flake). We compared the predicted lake water temperature, freeze-up and break-up dates as well as the ice thickness and snow depth during six years over 45 lakes in Finland against observations by Finnish Environment Institute. Water surface temperatures and freezing of lakes were well predicted but the ice tended to melt too early in spring.
Emilio Cuevas, Pedro Miguel Romero-Campos, Natalia Kouremeti, Stelios Kazadzis, Petri Räisänen, Rosa Delia García, Africa Barreto, Carmen Guirado-Fuentes, Ramón Ramos, Carlos Toledano, Fernando Almansa, and Julian Gröbner
Atmos. Meas. Tech., 12, 4309–4337, https://doi.org/10.5194/amt-12-4309-2019, https://doi.org/10.5194/amt-12-4309-2019, 2019
Short summary
Short summary
A comprehensive comparison of more than 70 000 synchronous 1 min aerosol optical depth (AOD) data from 3 Global Atmosphere Watch precision filter radiometers (GAW-PFR) and 15 Aerosol Robotic Network Cimel radiometers (AERONET-Cimel) was performed for the four
nearwavelengths (380, 440, 500 and 870 nm) in the period 2005–2015. The goal of this study is to assess whether their long term AOD data are comparable and consistent.
Kalle Nordling, Hannele Korhonen, Petri Räisänen, Muzaffer Ege Alper, Petteri Uotila, Declan O'Donnell, and Joonas Merikanto
Atmos. Chem. Phys., 19, 9969–9987, https://doi.org/10.5194/acp-19-9969-2019, https://doi.org/10.5194/acp-19-9969-2019, 2019
Short summary
Short summary
We carry out long equilibrium climate simulations with two modern climate models and show that the climate model dynamic response contributes strongly to the anthropogenic aerosol response. We demonstrate that identical aerosol descriptions do not improve climate model skill to estimate regional anthropogenic aerosol impacts. Our experiment utilized two independent climate models (NorESM and ECHAM6) with an identical description for aerosols optical properties and indirect effect.
Laura Rontu, Joni-Pekka Pietikäinen, and Daniel Martin Perez
Adv. Sci. Res., 16, 129–136, https://doi.org/10.5194/asr-16-129-2019, https://doi.org/10.5194/asr-16-129-2019, 2019
Short summary
Short summary
Radiative transfer calculations in numerical weather prediction (NWP)
and climate models require reliable information about aerosol
concentration in the atmosphere, combined with data on aerosol optical
properties. Data from the Copernicus atmosphere monitoring service
(CAMS) and European Centre for Medium-Range Weather Forecasts (ECMWF)
were implemented to the limited area, short-range HARMONIE-AROME NWP
model.
Stephanie Fiedler, Stefan Kinne, Wan Ting Katty Huang, Petri Räisänen, Declan O'Donnell, Nicolas Bellouin, Philip Stier, Joonas Merikanto, Twan van Noije, Risto Makkonen, and Ulrike Lohmann
Atmos. Chem. Phys., 19, 6821–6841, https://doi.org/10.5194/acp-19-6821-2019, https://doi.org/10.5194/acp-19-6821-2019, 2019
Emily Gleeson, Colm Clancy, Laura Zubiate, Jelena Janjić, Sarah Gallagher, and Frédéric Dias
Adv. Sci. Res., 16, 11–29, https://doi.org/10.5194/asr-16-11-2019, https://doi.org/10.5194/asr-16-11-2019, 2019
Short summary
Short summary
The Northeast Atlantic possesses an energetic and variable wind and wave climate which has a large potential for renewable energy extraction. The role of surface winds in the generation of ocean waves means that global atmospheric circulation patterns and wave climate characteristics are inherently connected. In this study we investigated the influence of large scale atmospheric oscillations on waves in the Northeast Atlantic using a high resolution wave projection dataset.
Laura Rontu and Anders V. Lindfors
Adv. Sci. Res., 15, 81–90, https://doi.org/10.5194/asr-15-81-2018, https://doi.org/10.5194/asr-15-81-2018, 2018
Short summary
Short summary
Global radiation forecasts by HARMONIE-AROME numerical weather prediction model were compared to observations over Finland in spring 2017 when convective clouds, rain and snow showers were frequent. In HARMONIE-AROME, three different schemes for parametrization of the atmospheric radiation transfer are available. Differences between the schemes and observations showed up especially as variations in the hourly scale. The results by the schemes were closer to each other than to the observations.
Joni-Pekka Pietikäinen, Tiina Markkanen, Kevin Sieck, Daniela Jacob, Johanna Korhonen, Petri Räisänen, Yao Gao, Jaakko Ahola, Hannele Korhonen, Ari Laaksonen, and Jussi Kaurola
Geosci. Model Dev., 11, 1321–1342, https://doi.org/10.5194/gmd-11-1321-2018, https://doi.org/10.5194/gmd-11-1321-2018, 2018
Short summary
Short summary
The regional climate model REMO was coupled with the FLake lake model to include an interactive treatment of lakes. Using this new version, the Fenno-Scandinavian climate and lake characteristics were studied. Our results show that overall the new model version improves the representation of the Fenno-Scandinavian climate in terms of 2 m temperature and precipitation and that the model can reproduce surface water temperature, ice depth and ice season length with reasonably high accuracy.
Ruth Mottram, Kristian Pagh Nielsen, Emily Gleeson, and Xiaohua Yang
Adv. Sci. Res., 14, 323–334, https://doi.org/10.5194/asr-14-323-2017, https://doi.org/10.5194/asr-14-323-2017, 2017
Short summary
Short summary
The HARMONIE weather forecasting model is used successfully in Greenland, but there are some problems over the ice sheet due to the lack of realistic glacier surface characteristics. By introducing a correction to the model, preventing glacier surface temperatures over 0 °C, we improve both 2 m air temperature and the surface winds (both strength and direction) forecast by the model.
We also identify other corrections needed before HARMONIE can be used for climate and ice sheet modelling.
Petri Räisänen, Risto Makkonen, Alf Kirkevåg, and Jens B. Debernard
The Cryosphere, 11, 2919–2942, https://doi.org/10.5194/tc-11-2919-2017, https://doi.org/10.5194/tc-11-2919-2017, 2017
Short summary
Short summary
While snow grains are non-spherical, spheres are often assumed in radiation calculations. Here, we replace spherical snow grains with non-spherical snow grains in a climate model. This leads to a somewhat higher snow albedo (by 0.02–0.03), increased snow and sea ice cover, and a distinctly colder climate (by over 1 K in the global mean). It also impacts the radiative effects of aerosols in snow. Overall, this work highlights the important role of snow albedo parameterization for climate models.
Alexander Baklanov, Ulrik Smith Korsholm, Roman Nuterman, Alexander Mahura, Kristian Pagh Nielsen, Bent Hansen Sass, Alix Rasmussen, Ashraf Zakey, Eigil Kaas, Alexander Kurganskiy, Brian Sørensen, and Iratxe González-Aparicio
Geosci. Model Dev., 10, 2971–2999, https://doi.org/10.5194/gmd-10-2971-2017, https://doi.org/10.5194/gmd-10-2971-2017, 2017
Short summary
Short summary
The Environment – HIgh Resolution Limited Area Model (Enviro-HIRLAM) is developed as a fully online integrated numerical weather prediction and atmospheric chemical transport model for research and forecasting of joint meteorological, chemical and biological weather. Different aspects of online coupling methodology, research strategy and possible applications of the modelling system, and ''fit-for-purpose'' model configurations for the meteorological and air quality communities are discussed.
Päivi Haapanala, Petri Räisänen, Greg M. McFarquhar, Jussi Tiira, Andreas Macke, Michael Kahnert, John DeVore, and Timo Nousiainen
Atmos. Chem. Phys., 17, 6865–6882, https://doi.org/10.5194/acp-17-6865-2017, https://doi.org/10.5194/acp-17-6865-2017, 2017
Short summary
Short summary
The dependence of solar-disk and circumsolar radiances on ice cloud
properties is studied with a Monte Carlo radiative transfer model. Ice
crystal roughness (or more generally, non-ideality) is found to be the
most important parameter influencing the circumsolar radiance, and ice
crystal sizes and shapes also play significant roles. When comparing
with radiances measured with the SAM instrument, rough ice crystals
reproduce the measurements better than idealized smooth ice crystals do.
Emily Gleeson, Eoin Whelan, and John Hanley
Adv. Sci. Res., 14, 49–61, https://doi.org/10.5194/asr-14-49-2017, https://doi.org/10.5194/asr-14-49-2017, 2017
Short summary
Short summary
This paper is a summary of a very high resolution climate reanalysis carried out for a domain covering Ireland, using the HARMONIE-AROME numerical weather prediction model. Details of the simulations and set-up as well as a preliminary analysis of the main output variables are included in the study.
Ari-Matti Harri, Konstantin Pichkadze, Lev Zeleny, Luis Vazquez, Walter Schmidt, Sergey Alexashkin, Oleg Korablev, Hector Guerrero, Jyri Heilimo, Mikhail Uspensky, Valery Finchenko, Vyacheslav Linkin, Ignacio Arruego, Maria Genzer, Alexander Lipatov, Jouni Polkko, Mark Paton, Hannu Savijärvi, Harri Haukka, Tero Siili, Vladimir Khovanskov, Boris Ostesko, Andrey Poroshin, Marina Diaz-Michelena, Timo Siikonen, Matti Palin, Viktor Vorontsov, Alexander Polyakov, Francisco Valero, Osku Kemppinen, Jussi Leinonen, and Pilar Romero
Geosci. Instrum. Method. Data Syst., 6, 103–124, https://doi.org/10.5194/gi-6-103-2017, https://doi.org/10.5194/gi-6-103-2017, 2017
Short summary
Short summary
Investigations of Mars – its atmosphere, surface and interior – require simultaneous, distributed in situ measurements. We have developed an innovative prototype of the Mars Network Lander (MNL), a small lander/penetrator with a 20 % payload mass fraction. MNL features an innovative Entry, Descent and Landing System to increase reliability and reduce the system mass. It is ideally suited for piggy-backing on spacecraft, for network missions and pathfinders for high-value landed missions.
Emily Gleeson, Sarah Gallagher, Colm Clancy, and Frédéric Dias
Adv. Sci. Res., 14, 23–33, https://doi.org/10.5194/asr-14-23-2017, https://doi.org/10.5194/asr-14-23-2017, 2017
Short summary
Short summary
Large scale atmospheric oscillations, such as the North Atlantic Oscillation are known to have an influence on waves in the North Atlantic. This study investigated the influence of the NAO on the present and future wind and wave climate in the Northeast Atlantic near Ireland.
Emily Gleeson, Velle Toll, Kristian Pagh Nielsen, Laura Rontu, and Ján Mašek
Atmos. Chem. Phys., 16, 5933–5948, https://doi.org/10.5194/acp-16-5933-2016, https://doi.org/10.5194/acp-16-5933-2016, 2016
Short summary
Short summary
The direct shortwave (SW) radiative effect of aerosols under clear-sky conditions in the ALADIN-HIRLAM numerical weather prediction system was investigated using three SW radiation schemes in diagnostic single-column experiments. Each scheme accurately simulates the direct SW effect when observed aerosols are used, particularly for heavy pollution scenarios.
Sarah Gallagher, Emily Gleeson, Roxana Tiron, Ray McGrath, and Frédéric Dias
Adv. Sci. Res., 13, 75–80, https://doi.org/10.5194/asr-13-75-2016, https://doi.org/10.5194/asr-13-75-2016, 2016
Short summary
Short summary
As an island located in the North Atlantic Ocean with a highly energetic wave and wind climate, Ireland is uniquely placed in terms of its ocean renewable energy resource. The socio-economic importance of this resource makes it a priority to quantify how the wave and wind climate may change in the future. We examine how surface winds in the North Atlantic Ocean may change towards the end of this century due to global climate change, and how these changes may affect Ireland's wave climate.
Markku Kangas, Laura Rontu, Carl Fortelius, Mika Aurela, and Antti Poikonen
Geosci. Instrum. Method. Data Syst., 5, 75–84, https://doi.org/10.5194/gi-5-75-2016, https://doi.org/10.5194/gi-5-75-2016, 2016
Short summary
Short summary
Sodankylä, in the heart of the Arctic Research Centre of the Finnish Meteorological Institute in northern Finland with temperatures ranging from −50 to +30 °C, provides a challenging location for numerical weather forecasting (NWP) models. In this article, the use of measurements performed in Sodankylä for near-real time online verification of NWP models is described. A more specific case study of three different radiation schemes, applicable in NWP model HARMONIE-AROME, is also presented.
R. Pirazzini, P. Räisänen, T. Vihma, M. Johansson, and E.-M. Tastula
The Cryosphere, 9, 2357–2381, https://doi.org/10.5194/tc-9-2357-2015, https://doi.org/10.5194/tc-9-2357-2015, 2015
Short summary
Short summary
We illustrate a method to measure the size distribution of a snow particle metric from macro photos of snow particles. This snow particle metric corresponds well to the optically equivalent effective radius. Our results evidence the impact of grain shape on albedo, indicate that more than just one particle metric distribution is needed to characterize the snow scattering properties at all optical wavelengths, and suggest an impact of surface roughness on the shortwave infrared albedo.
O. Kemppinen, T. Nousiainen, S. Merikallio, and P. Räisänen
Atmos. Chem. Phys., 15, 11117–11132, https://doi.org/10.5194/acp-15-11117-2015, https://doi.org/10.5194/acp-15-11117-2015, 2015
Short summary
Short summary
Combinations of simple mathematical model shapes called ellipsoids are used in many remote sensing and modeling applications to denote dust particles. In this study we investigate how accurately various physical parameters can be retrieved by using ellipsoids. The results show that using ellipsoids can lead to wrong results, while at the same time seeming like they work well. This means that extreme care should be used when using ellipsoids for dust, and extra validation measures should be used.
P. Räisänen, A. Kokhanovsky, G. Guyot, O. Jourdan, and T. Nousiainen
The Cryosphere, 9, 1277–1301, https://doi.org/10.5194/tc-9-1277-2015, https://doi.org/10.5194/tc-9-1277-2015, 2015
Short summary
Short summary
While snow grains are distinctly non-spherical, spheres are often assumed in radiative transfer calculations. Here, angular scattering measurements for blowing snow are used to select an optically equivalent snow grain shape model. Parameterizations are then developed for the asymmetry parameter, single-scattering co-albedo and phase function of snow. The parameterizations will help to improve the treatment of snow in radiative transfer applications, including remote sensing and climate models.
J. Tonttila, E. J. O'Connor, A. Hellsten, A. Hirsikko, C. O'Dowd, H. Järvinen, and P. Räisänen
Atmos. Chem. Phys., 15, 5873–5885, https://doi.org/10.5194/acp-15-5873-2015, https://doi.org/10.5194/acp-15-5873-2015, 2015
H. Vuollekoski, M. Vogt, V. A. Sinclair, J. Duplissy, H. Järvinen, E.-M. Kyrö, R. Makkonen, T. Petäjä, N. L. Prisle, P. Räisänen, M. Sipilä, J. Ylhäisi, and M. Kulmala
Hydrol. Earth Syst. Sci., 19, 601–613, https://doi.org/10.5194/hess-19-601-2015, https://doi.org/10.5194/hess-19-601-2015, 2015
Short summary
Short summary
The global potential for collecting usable water from dew on an
artificial collector sheet was investigated by utilising 34 years of
meteorological reanalysis data as input to a dew formation model. Continental dew formation was found to be frequent and common, but daily yields were
mostly below 0.1mm.
J. Tonttila, H. Järvinen, and P. Räisänen
Atmos. Chem. Phys., 15, 703–714, https://doi.org/10.5194/acp-15-703-2015, https://doi.org/10.5194/acp-15-703-2015, 2015
P. Räisänen, A. Luomaranta, H. Järvinen, M. Takala, K. Jylhä, O. N. Bulygina, K. Luojus, A. Riihelä, A. Laaksonen, J. Koskinen, and J. Pulliainen
Geosci. Model Dev., 7, 3037–3057, https://doi.org/10.5194/gmd-7-3037-2014, https://doi.org/10.5194/gmd-7-3037-2014, 2014
Short summary
Short summary
Snowmelt influences greatly the climatic conditions in spring. This study evaluates the timing of springtime end of snowmelt in the ECHAM5 model. A key finding is that, in much of northern Eurasia, snow disappears too early in ECHAM5, in spite of a slight cold bias in spring. This points to the need for a more comprehensive treatment of the surface energy budget. In particular, the surface temperature for the snow-covered and snow-free parts of a climate model grid cell should be separated.
S. V. Henriksson, J.-P. Pietikäinen, A.-P. Hyvärinen, P. Räisänen, K. Kupiainen, J. Tonttila, R. Hooda, H. Lihavainen, D. O'Donnell, L. Backman, Z. Klimont, and A. Laaksonen
Atmos. Chem. Phys., 14, 10177–10192, https://doi.org/10.5194/acp-14-10177-2014, https://doi.org/10.5194/acp-14-10177-2014, 2014
M. S. Johnston, S. Eliasson, P. Eriksson, R. M. Forbes, A. Gettelman, P. Räisänen, and M. D. Zelinka
Atmos. Chem. Phys., 14, 8701–8721, https://doi.org/10.5194/acp-14-8701-2014, https://doi.org/10.5194/acp-14-8701-2014, 2014
K. P. Nielsen, E. Gleeson, and L. Rontu
Geosci. Model Dev., 7, 1433–1449, https://doi.org/10.5194/gmd-7-1433-2014, https://doi.org/10.5194/gmd-7-1433-2014, 2014
C. E. Chung, H. Cha, T. Vihma, P. Räisänen, and D. Decremer
Atmos. Chem. Phys., 13, 11209–11219, https://doi.org/10.5194/acp-13-11209-2013, https://doi.org/10.5194/acp-13-11209-2013, 2013
J. Tonttila, P. Räisänen, and H. Järvinen
Atmos. Chem. Phys., 13, 7551–7565, https://doi.org/10.5194/acp-13-7551-2013, https://doi.org/10.5194/acp-13-7551-2013, 2013
M. D. Paton, A.-M. Harri, T. Mäkinen, and H. Savijärvi
Geosci. Instrum. Method. Data Syst., 2, 17–27, https://doi.org/10.5194/gi-2-17-2013, https://doi.org/10.5194/gi-2-17-2013, 2013
Cited articles
Anderson, G. P., Clough, S. A., Kneizys, F. X., Chetwynd, J. H., and Shettle, E. P.: AFGL Atmospheric Constituent Profiles (0–120 km), Tech. Rep. AFGL-TR-86-0110, Air Force Geophysics Lab Hanscom AFB, MA, USA, 1986.
ARM: ARM Climate Research Facility, available at: https://www.arm.gov/ (last access: 23 November 2016), 2016.
Arola, A., Lindfors, A., Natunen, A., and Lehtinen, K. E. J.: A case study on biomass burning aerosols: effects on aerosol optical properties and surface radiation levels, Atmos. Chem. Phys., 7, 4257–4266, https://doi.org/10.5194/acp-7-4257-2007, 2007.
Baklanov, A., Korsholm, U. S., Nuterman, R., Mahura, A., Nielsen, K. P., Sass, B. H., Rasmussen, A., Zakey, A., Kaas, E., Kurganskiy, A., Sørensen, B., and Gonz´lez-Aparicio, I.: The Enviro-HIRLAM online integrated meteorology–chemistry modelling system: strategy, methodology, developments, and applications, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2016-319, in review, 2017.
Bengtsson, L., Andrae, U., Aspelien, T., Batrak, Y., Calvo, J., de Rooy, W., Gleeson, E., Hansen-Sass, B., Homleid, M., Hortal, M., Ivarsson, K., Lenderink, G., Niemelä, S., Pagh Nielsen, K., Onvlee, J., Rontu, L., Samuelsson, P., Santos Muñoz, D., Subias, A., Tijm, S., Toll, V., Yang, X., and Ødegaard Køltzow, M.: The HARMONIE-AROME model configuration in the ALADIN-HIRLAM NWP system, Mon. Weather Rev., 145, 1919–1935, https://doi.org/10.1175/MWR-D-16-0417.1, 2017.
Clough, S. A., Shephard, M. W., Mlawer, E. J., Delamere, J. S., Iacono, M. J., Cady-Pereira, K., Boukabara, S., and Brown, P. D.: Atmospheric radiative transfer modeling: a summary of the AER codes, J. Quant. Spectrosc. Ra., 91, 233–244, 2005.
ECMWF: IFS documentation, Chapter 2, available at: http://www.ecmwf.int/sites/default/files/elibrary/2015/9211-part-iv-physical-processes.pdf (last access: 1 February 2017), 2015.
Eerola, K.: Twenty-one years of verification from the HIRLAM NWP system, Weather Forecast., 28, 270–285, https://doi.org/10.1175/WAF-D-12-00068.1, 2013.
Faroux, S., Kaptué Tchuenté, A. T., Roujean, J.-L., Masson, V., Martin, E., and Le Moigne, P.: ECOCLIMAP-II/Europe: a twofold database of ecosystems and surface parameters at 1 km resolution based on satellite information for use in land surface, meteorological and climate models, Geosci. Model Dev., 6, 563–582, https://doi.org/10.5194/gmd-6-563-2013, 2013.
Geleyn, J. F., Mašek, J., Brožková, R., Kuma, P., Degrauwe, D., Hello, G., and Pristov, N.: Single interval longwave radiation scheme based on the net exchanged rate decomposition with bracketing, Q. J. Roy. Meteor. Soc., 143, 1313–1335, https://doi.org/10.1002/qj.3006, 2017.
Gleeson, E., Nielsen, K. P., Toll, V., and Rontu, L.: Shortwave Radiation Experiments in HARMONIE. Tests of the cloud inhomogeneity factor and a new cloud liquid optical property scheme compared to observations, ALADIN-HIRLAM Newsletter 5, 92–106, available at: http://www.cnrm.meteo.fr/aladin/IMG/pdf/nl5.pdf (last access: 1 February 2017), 2015.
Gleeson, E., Toll, V., Nielsen, K. P., Rontu, L., and Mašek, J.: Effects of aerosols on clear-sky solar radiation in the ALADIN-HIRLAM NWP system, Atmos. Chem. Phys., 16, 5933–5948, https://doi.org/10.5194/acp-16-5933-2016, 2016.
Hu, Y. X. and Stamnes, K.: An Accurate Parameterization of the Radiative Properties of Water Clouds Suitable for Use in Climate Models. J. Climate, 6, 728–742, https://doi.org/10.1175/1520-0442(1993)006<0728:AAPOTR>2.0.CO;2, 1993.
Kangas, M., Rontu, L., Fortelius, C., Aurela, M., and Poikonen, A.: Weather model verification using Sodankylä mast measurements, Geosci. Instrum. Method. Data Syst., 5, 75–84, https://doi.org/10.5194/gi-5-75-2016, 2016.
Koepke, P., Hess, M., Schult, I., and Shettle, E. P.: Global Aerosol Data Set, Report No. 243, Max-Planck-Institut für Meteorologie, Hamburg, Germany, ISSN 0937-1060, 1997.
Lindfors, A., Kaurola, J., Arola, A., Koskela, T., Lakkala, K., Josefsson, W., Olseth, J. A., and Johnsen, B.: A method for reconstruction of past UV radiation based on radiative transfer modeling: Applied to four stations in northern Europe, J. Geophys. Res., 112, D23201, https://doi.org/10.1029/2007JD008454, 2007.
Manners, J., Thelen, J.-C., Petch, J., Hill, P., and Edwards, J. M.: Two fast radiative transfer methods to improve the temporal sampling of clouds in numerical weather prediction and climate models, Q. J. Roy. Meteor. Soc., 135, 457–468, https://doi.org/10.1002/qj.385, 2009.
Martin, G. M., Johnson, D. W., and Spice, A.: The measurement and parameterization of effective radius of droplets in warm stratocumulus clouds, J. Atmos. Sci., 51, 1823–1842, https://doi.org/10.1175/1520-0469(1994)051<1823:TMAPOE>2.0.CO;2, 1994.
Mašek, J., Geleyn, J. F., Brožková, R., Giot, O., Achom, H. O., and Kuma, P.: Single interval shortwave radiation scheme with parameterized optical saturation and spectral overlaps, Q. J. Roy. Meteor. Soc., 142, 304–326, https://doi.org/10.1002/qj.2653, 2016.
Masson, V., Le Moigne, P., Martin, E., Faroux, S., Alias, A., Alkama, R., Belamari, S., Barbu, A., Boone, A., Bouyssel, F., Brousseau, P., Brun, E., Calvet, J.-C., Carrer, D., Decharme, B., Delire, C., Donier, S., Essaouini, K., Gibelin, A.-L., Giordani, H., Habets, F., Jidane, M., Kerdraon, G., Kourzeneva, E., Lafaysse, M., Lafont, S., Lebeaupin Brossier, C., Lemonsu, A., Mahfouf, J.-F., Marguinaud, P., Mokhtari, M., Morin, S., Pigeon, G., Salgado, R., Seity, Y., Taillefer, F., Tanguy, G., Tulet, P., Vincendon, B., Vionnet, V., and Voldoire, A.: The SURFEXv7.2 land and ocean surface platform for coupled or offline simulation of earth surface variables and fluxes, Geosci. Model Dev., 6, 929–960, https://doi.org/10.5194/gmd-6-929-2013, 2013.
Mayer, B. and Kylling, A.: Technical note: The libRadtran software package for radiative transfer calculations – description and examples of use, Atmos. Chem. Phys., 5, 1855–1877, https://doi.org/10.5194/acp-5-1855-2005, 2005.
Nielsen, K. P., Gleeson, E., and Rontu, L.: Radiation sensitivity tests of the HARMONIE 37h1 NWP model, Geosci. Model Dev., 7, 1433–1449, https://doi.org/10.5194/gmd-7-1433-2014, 2014.
Nielsen, K. P., Georgoulias, A. K., Kourtidis, K., and Stathopoulos, S.: Relationship between air pollution and meteorology, Deliverable D 5.4 from the EU FP7 project: Monitoring and Assessment of Regional air quality in China using space Observations (MarcoPolo), https://www.researchgate.net/profile/Kristian_Nielsen/project, last access: 3 July 2017.
Ou, S.-C. and Liu, K.-N.: Ice microphysics and climatic temperature feedback, Atmos. Res., 35, 127–138, 1995.
Oreopoulos, L., Mlawer, E., Delamere, J., Shippert, T., Cole, J., Fomin, B., Iacono, M., Jin, Z., Li, J., Manners, J., Räisänen, P., Rose, F., Zhang, Y., Wilson, M. J., and Rossow, W. B.: The continual intercomparison of radiation codes: Results from phase I., J. Geophys. Res., 117, D06118, https://doi.org/10.1029/2011JD016821, 2012.
Paltridge, G. W. and Platt, C. M. R.: Radiative processes in meteorology and climatology. Developments in atmospheric science, Elsevier Scientific Pub. Co., Amsterdam, 1976.
Pincus, R. and Stevens, B.: Paths to accuracy for radiation parameterizations in atmospheric models, J. Adv. Model. Earth Syst., 5, 225–233, https://doi.org/10.1002/jame.20027, 2013.
Riihelä, A., Carlund, T., Trentman, J., Müller, R., and Lindfors, A.: Validation of CM SAF Surface Solar Radiation Datasets over Finland and Sweden, Remote Sens., 7, 6663–6682, https://doi.org/10.3390/rs70606663, 2015.
Rontu, L., Wastl, C., and Niemelä, S.: Influence of the details of topography on weather forecast – evaluation of HARMONIE experiments in the Sochi Olympics domain over the Caucasian mountains, Front. Earth Sci., 4, 13 pp., https://doi.org/10.3389/feart.2016.00013, 2016a.
Rontu, L., Gleeson, E., Nielsen, K. P., Toll, V., and Mašek, J.: HARMONIE radiation studies 2011–2016, ALADIN-HIRLAM Newsletter No. 7, 92–106, available at: http://www.cnrm.meteo.fr/aladin/IMG/pdf/nl7.pdf (last access: 1 February 2017), 2016b.
Rummukainen, M., Räisänen, J., Bringfelt, B., Ullerstig, A., Omstedt, A., Willén, U., Hansson, U., and Jones, C.: A regional climate model for northern Europe: model description and results from the downscaling of two GCM control simulations, Clim. Dynam., 17, 339–359, https://doi.org/10.1007/s003820000109, 2001.
Räisänen, P., Rummukainen, M., and Räisänen, J.: Modification of the HIRLAM radiation scheme for use at the Rossby Centre Regional Atmospheric Climate Model. Department of Meteorology, University of Helsinki, Report No. 49, 71 pp., 2000a.
Räisänen, P., Rummukainen, M., and Räisänen, J.: Modification of the HIRLAM radiation scheme for use at the Rossby Centre, HIRLAM Newsletter, 36, 48–54, available at: http://hirlam.org (last access: 1 February 2017), 2000b.
Sass, B. H., Rontu, L., and Räisänen, P.: HIRLAM-2 Radiation scheme: Documentation and tests, HIRLAM Technical report, 16, available at: http://hirlam.org (last access: 1 February 2017), 1994.
Savijärvi, H.: Fast Radiation Parameterization Schemes for Mesoscale and Short-Range Forecast Models, J. Appl. Meteorol., 29, 437–447, 1990.
Savijärvi, H., Arola, A., and Räisänen, P.: Short-wave optical properties of precipitating water clouds, Q. J. Roy. Meteor. Soc., 123, 883–899, https://doi.org/10.1002/qj.49712354005, 1997.
Schomburg, A., Venema, V., Ament, F., and Simmer, C.: Application of an adaptive radiative transfer scheme in a mesoscale numerical weather prediction model, Q. J. Roy. Meteor. Soc., 138, 91–102, https://doi.org/10.1002/qj.890, 2012.
Seity, Y., Brousseu, P., Malardel, S., Hello, G., Benard, P., Bouttier, F., Lac, C., and Masson, V.: The AROME-France convective-scale operational model, Mon. Weather Rev., 139, 976–991, https://doi.org/10.1175/2010MWR3425.1, 2011.
Senkova, A. V., Rontu, L., and Savijärvi, H.: Parametrization of orographic effects on surface radiation in HIRLAM, Tellus A, 59, 279–291, https://doi.org/10.1111/j.1600-0870.2007.00235.x, 2007.
Stamnes, K., Tsay, S.-C., Wiscombe, W., and Jayaweera, K.: Numerically stable algorithm for discrete-ordinate-method radiative transfer in multiple scattering and emitting layered media, Appl. Optics, 27, 2502–2509, 1988.
Stamnes, K., Tsay, S.-C., and Laszlo, I.: DISORT, a General-Purpose Fortran Program for Discrete-Ordinate-Method Radiative Transfer in Scattering and Emitting Layered Media: Documentation and Methodology, Tech. rep., Stevens Insitute of Technology, Hoboken, NJ, USA, 2000.
Sun, Z.: Reply to comments by Greg M. McFarquhar on “Parametrization of effective sizes of cirrus-cloud particles and its verification against observations”, Q. J. Roy. Meteor. Soc., 127, 267–271, 2001.
Sun, Z. and Rikus, L.: Parametrization of effective sizes of cirrus-cloud particles and its verification against observations, Q. J. Roy. Meteor. Soc., 125, 3037–3055, 1999.
Thomas, G. E. and Stamnes, K.: Radiative Transfer in the Atmosphere and Ocean, Cambridge University Press, New York, NY, USA, 2002.
Tiedtke, M.: An Extension of Cloud-Radiation Parameterization in the ECMWF Model: The Representation of Subgrid-Scale Variations of Optical Depth, Mon. Weather Rev., 124, 745–750, https://doi.org/10.1175/1520-0493(1996)124<0745:AEOCRP>2.0.CO;2, 1996.
Toll, V., Gleeson, E., Nielsen, K. P., Mannik, A., Mašek, J., Rontu, L., and Post, P.: Impacts of the direct radiative effect of aerosols in numerical weather prediction over Europe using the ALADIN-HIRLAM NWP system, Atmos. Res., 163–173, https://doi.org/10.1016/j.atmosres.2016.01.003, 2016.
Unden, P., Rontu, L., Arvinen, H., Lynch, P., Calvo, J., Cats, G., Cuxart, J., Eerola, K., Fortelius, C., Garcia-Moya, J. A., Jones, C., Lenderlink, G., McDonald, A., McGrath, R., Navascues, B., Woetman Nielsen, N., Odegaard, V., Rodriguez, E., Rummukainen, M., Room, R., Sattler, K., Hansen Sass, B., Savijärvi, H., Wichers Schreur, B., Sigg, R., The, H., and Tijm, A.: The HIRLAM version 5.0 model. HIRLAM documentation manual (HIRLAM Scientific Documentation), available at: http://hirlam.org (last access: 1 February 2017), 2002.
Venema, V., Schomburg, A., Ament, F., and Simmer, C.: Two adaptive radiative transfer schemes for numerical weather prediction models, Atmos. Chem. Phys., 7, 5659–5674, https://doi.org/10.5194/acp-7-5659-2007, 2007.
Wastl, C., Mary, A., Seity, Y., Rontu, L., and Wittmann, C.: Parameterization of orographic effects on surface radiation in AROME-SURFEX, ALADIN-HIRLAM Newsletter No. 5, 81–82, available at: http://www.cnrm.meteo.fr/aladin/IMG/pdf/nl5.pdf (last access: 1 February 2017), 2015.
Wyser, K., Rontu, L., and Savijärvi, H.: Introducing the Effective Radius into a Fast Radiation Scheme of a Mesoscale Model, Contr. Atmos. Phys., 72, 205–218, 1999.
Short summary
This paper provides an overview of the HLRADIA shortwave (SW) and longwave (LW) broadband radiation schemes used in the HIRLAM numerical weather prediction (NWP) model and available in the HARMONIE-AROME mesoscale NWP model. The advantage of broadband, over spectral, schemes is that they can be called more frequently within the NWP model, without compromising on computational efficiency. Fast physically based radiation parametrizations are also valuable for high-resolution ensemble forecasting.
This paper provides an overview of the HLRADIA shortwave (SW) and longwave (LW) broadband...
