Literatura académica sobre el tema "High-resolution Regional Climate Model"
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Artículos de revistas sobre el tema "High-resolution Regional Climate Model"
Meissner, Cathérine Schädler, Hans-Jürgen Feldmann Panitz y Christoph Kottmeier. "High-resolution sensitivity studies with the regional climate model COSMO-CLM". Meteorologische Zeitschrift 18, n.º 5 (1 de octubre de 2009): 543–57. http://dx.doi.org/10.1127/0941-2948/2009/0400.
Texto completoSuklitsch, Martin, Andreas Gobiet, Armin Leuprecht y Christoph Frei. "High Resolution Sensitivity Studies with the Regional Climate Model CCLM in the Alpine Region". Meteorologische Zeitschrift 17, n.º 4 (25 de agosto de 2008): 467–76. http://dx.doi.org/10.1127/0941-2948/2008/0308.
Texto completoMendoza, Pablo A., Balaji Rajagopalan, Martyn P. Clark, Kyoko Ikeda y Roy M. Rasmussen. "Statistical Postprocessing of High-Resolution Regional Climate Model Output". Monthly Weather Review 143, n.º 5 (1 de mayo de 2015): 1533–53. http://dx.doi.org/10.1175/mwr-d-14-00159.1.
Texto completoBerg, P., H. Feldmann y H. J. Panitz. "Bias correction of high resolution regional climate model data". Journal of Hydrology 448-449 (julio de 2012): 80–92. http://dx.doi.org/10.1016/j.jhydrol.2012.04.026.
Texto completoDrost, Frank, James Renwick, B. Bhaskaran, Hilary Oliver y James McGregor. "Simulation of New Zealand's climate using a high-resolution nested regional climate model". International Journal of Climatology 27, n.º 9 (2007): 1153–69. http://dx.doi.org/10.1002/joc.1461.
Texto completoWagner, Sven, Peter Berg, Gerd Schädler y Harald Kunstmann. "High resolution regional climate model simulations for Germany: Part II—projected climate changes". Climate Dynamics 40, n.º 1-2 (13 de septiembre de 2012): 415–27. http://dx.doi.org/10.1007/s00382-012-1510-1.
Texto completoJadmiko, Syamsu Dwi y Akhmad Faqih. "Dynamical Downscaling Luaran Global Climate Model (GCM) Menggunakan Model REGCM3 untuk Proyeksi Curah Hujan di Kabupaten Indramayu". Agromet 28, n.º 1 (8 de febrero de 2018): 9. http://dx.doi.org/10.29244/j.agromet.28.1.9-16.
Texto completoDemory, Marie-Estelle, Ségolène Berthou, Jesús Fernández, Silje L. Sørland, Roman Brogli, Malcolm J. Roberts, Urs Beyerle et al. "European daily precipitation according to EURO-CORDEX regional climate models (RCMs) and high-resolution global climate models (GCMs) from the High-Resolution Model Intercomparison Project (HighResMIP)". Geoscientific Model Development 13, n.º 11 (11 de noviembre de 2020): 5485–506. http://dx.doi.org/10.5194/gmd-13-5485-2020.
Texto completoWalter, Andreas, Klaus Keuler, Daniela Jacob, Richard Knoche, Alexander Block, Sven Kotlarski, Gerhard Müller-Westermeier, Diana Rechid y Wilfried Ahrens. "A high resolution reference data set of German wind velocity 19512001 and comparison with regional climate model results". Meteorologische Zeitschrift 15, n.º 6 (20 de diciembre de 2006): 585–96. http://dx.doi.org/10.1127/0941-2948/2006/0162.
Texto completoWang, Xiuquan, Guohe Huang, Qianguo Lin y Jinliang Liu. "High-Resolution Probabilistic Projections of Temperature Changes over Ontario, Canada". Journal of Climate 27, n.º 14 (10 de julio de 2014): 5259–84. http://dx.doi.org/10.1175/jcli-d-13-00717.1.
Texto completoTesis sobre el tema "High-resolution Regional Climate Model"
Pal, Sujan y Sujan Pal. "Application of High-Resolution Regional Climate Model Product in Climate and Weather Research". Thesis, The University of Arizona, 2017. http://hdl.handle.net/10150/624093.
Texto completoMeissner, Cathérine. "High-resolution sensitivity studies with the regional climate model COSMO-CLM". Karlsruhe Univ.-Verl. Karlsruhe, 2008. http://d-nb.info/992844436/04.
Texto completoMeyer, Jonathan D. D. "Modeling and Projection of the North American Monsoon Using a High-Resolution Regional Climate Model". DigitalCommons@USU, 2017. https://digitalcommons.usu.edu/etd/5802.
Texto completoKarmacharya, Jagadishwor. "Climate processes over the Himalaya : the added value from high resolution regional climate modelling". Thesis, University of Oxford, 2014. http://ora.ox.ac.uk/objects/uuid:a8cec5ba-b837-49c0-abd4-62c26d71dffd.
Texto completoMeißner, Cathérine [Verfasser] y C. [Akademischer Betreuer] Kottmeier. "High-resolution sensitivity studies with the regional climate model COSMO-CLM / Cathérine Meißner ; Betreuer: C. Kottmeier". Karlsruhe : KIT Scientific Publishing, 2008. http://d-nb.info/1185225358/34.
Texto completoLiang, Ju. "Validation and projection of Tropical Cyclone activity over the western North Pacific using a high resolution regional climate model". Thesis, University of Reading, 2017. http://centaur.reading.ac.uk/75270/.
Texto completoSchaaf, Benjamin [Verfasser] y Hans von [Akademischer Betreuer] Storch. "Added Value and regional effects in the multidecadal trends of a very high-resolution regional climate long-term model simulation at the coasts of Northern Germany / Benjamin Schaaf ; Betreuer: Hans von Storch". Hamburg : Staats- und Universitätsbibliothek Hamburg, 2018. http://d-nb.info/1163394319/34.
Texto completoCaillaud, Cecile. "Sensibilité climatique des systèmes précipitants intenses : approche par la modélisation climatique à très haute résolution sur le nord-ouest de la Méditerranée". Electronic Thesis or Diss., Toulouse, INPT, 2023. http://www.theses.fr/2023INPT0111.
Texto completoThe Mediterranean Heavy Precipitation Events (HPEs) that affect the northwestern Mediterranean every fall are high-impact weather events. The study of their evolution on climate scales is therefore of great importance and remains a challenge for the climate modelling community. For some years now, it has been possible to use kilometre-scale regional climate models (Convection- Permitting Regional Climate Models or CP-RCMs, 1-3 km) in which deep convection is explicitly simulated. These models make it possible to get closer to the spatio-temporal scales involved and open up new perspectives in terms of analysis. The aim of this thesis is to determine the response of northwestern Mediterranean HPEs to human-induced climate change, using this new generation of climate models combined with an object-oriented approach. The tracking of heavy precipitation systems is applied to observational datasets, to simulations carried out with the CNRM-AROME CP-RCM and to simulations of the first ensemble of CP-RCMs available as part of the international CORDEX FPS Convection programme over a common domain covering the north-western Mediterranean. The first part of this thesis is devoted to evaluating the performance of CP-RCMs in comparison with high-resolution reference observation data. The added value of CP-RCM compared with regional models with coarser resolution (12-15 km) is demonstrated for precipitation extremes, particularly at hourly time steps. The object-oriented approach also shows that, despite a few residual biases, CP-RCMs are capable of correctly representing the principal properties of heavy precipitation systems, both in terms of number and position over the entire domain, and in terms of duration, intensity, surface area, volume, speed and severity over the French Mediterranean, where observations enable these properties to be assessed in detail. The good performance of these models lends greater confidence to their future projections. The second part focuses on the future evolution of Mediterranean HPEs using the object-oriented approach applied to mid and end-of-century simulations of the CP-RCMs ensemble in scenario mode to study changes in the properties of heavy precipitation systems in a warmer climate. At the end of the century, and according to a scenario of high emissions, certain changes are found in most of the simulations and can be described as robust. For example, an increase in the frequency of fall heavy precipitation systems over a large part of the domain, particularly from central Italy to the northern Balkans, is accompanied by a doubling of the areas affected by these events. Over the French Mediterranean region, the models agree on an increase in the intensity, surface area and volume of precipitating systems. However, even with this new generation of models, significant uncertainties remain, particularly for changes in frequency over southeastern France, probably due to differences in the synoptic conditions imposed by the CP-RCMs driving models. Similarly, the ensemble projects a wide range of possible changes in the properties of systems, particularly for the most intense ones and even when standardised by the corresponding regional warming. While CP-RCMs are the appropriate modelling tools for studying precipitation extremes, efforts must be continued to produce larger, better constructed ensembles, probably supplemented by machine learning methods, in order to provide useful climate information at scales relevant to adaptation policies
Rulewski, Stenberg Louis. "High frequency rainfall data disaggregation with a random cascade model : Identifying regional differences in hyetographs in Sweden". Thesis, Uppsala universitet, Institutionen för geovetenskaper, 2021. http://urn.kb.se/resolve?urn=urn:nbn:se:uu:diva-434661.
Texto completoInom småskalig hydrologisk modellering finns det idag ett behov av dataserier med hög tidsupplösning för att effektivt kunna modellera och analysera både aktuella och kommande trender hos extrema regnhändelser. När högupplösta dataserier är otillgängliga vid en önskad mätplats kan disaggregering med hjälp av en slumpmässig kaskadmodell tillämpas. Tidigare forskning har visat att kaskadmodeller är användbara för disaggregering av regndata med en tidsupplösning av 1 timme. I denna studie disaggregerades dataserier med syftet att uppnå en tidsupplösningav av 1 minut. För att kunna analysera eventuella skillnader mellan regioner klustrades även hyetografer med de framtagna dataserierna. Den slumpmässiga kaskadmodellen kalibrerades med befintlig kommunal data med en tidsupplösning på 1 minut, för att sedan kunna disaggregera 15 minuters data från SMHIs databaser. Disaggregeringen genomfördes i ett antal olika stokastiska realisationer för att kunna ta hänsyn till, och korrigera, de inneboende osäkerheterna i den slumpmässiga kaskadmodellen. Disaggregeringsresultaten bedömdes genom en jämförelse med kalibreringsdata: två regnegenskaper, regnvaraktighet (ED) och regnvolym (EV), analyserades för att kunna bestämma derasfördelningar och beteenden. Kalibreringsparametrarnas överförbarhet analyserades också med hjälp av ED & EV för olika scenarier. Slutligen klustrades hyetografer för att fastställa potentiella skillnader mellan regioner. Studien påvisade möjligheten att använda en slumpmässig kaskadmodell till höga tidsupplösningar i Sverige. Modellen lyckades återskapa regnegenskaper från kalibreringsdata vid disaggregeringen. Möjligheten att överföra kalibreringsparametrar från en station till en annan visade sig dock inte vara helt övertygande: regnegenskaper återskapades endast i vissa fall, men inte i samtliga. Slutligen konstaterades regionala skillnader i hyetografer, men tydliga slutsatser kunde inte dras på grund av underliggande begränsningar med studien.
Osima, Sarah Emerald. "Understanding a high resolution regional climate model's ability in simulating tropical East Africa climate variability and change". Doctoral thesis, University of Cape Town, 2015. http://hdl.handle.net/11427/16716.
Texto completoThe main aim of this thesis is to investigate the potential benefits of increasing resolution in regional climate models in the simulation of climate variability and change over East Africa. This study is based on two high resolution regional climate simulations with a horizontal resolution of 50km and 10km, respectively. These represent present day climate and a projection of future climate change over East Africa. The regional climate model (RCM) used here is HIRHAM5, which is driven by the global circulation model (ECHAM5). Downscaled ECHAM5 output is used to drive the 50km HIRHAM5 simulation for the period 1950-2100, and output from this simulation is used to drive the 10km simulation for three time slices: 1980-1999, representative for present-day climate and two time slices for near future (2046-2065) and far future (2080- 2099), respectively. HIRHAM5 is evaluated with respect to the observed mean climatologies of rainfall, surface temperature and surface winds over East Africa, and representations of the observed annual cycles and inter-annual variability of rainfall and surface temperature. This study utilizes reanalysis and observational datasets: a hindcast of HIRHAM5 forced with ERA Interim, as well as two observation datasets for temperature and rainfall. Since reanalyses aim to make "best use" of all available observations by making a physically consistent representation continuous in time and space, and since there is a paucity of observations over many parts of Africa, the ERAI reanalysis is also used as a best estimate for model evaluation. Additionally, for evaluation of the bimodal nature of East Africa's rainfall, especially over Tanzania, three stations run by the Tanzania Meteorological Agency were used. The model data used in th is evaluation ranges from 1980 to 2006 iv HIRHAM5 demonstrates reasonable skill in the reproduction of observed patterns of mean climatology of rainfall, surface temperature and winds over East Africa. Moreover, the patterns of annual cycles of rainfall and surface temperature in the bimodal nature of East Africa are well represented. Furthermore, the model showed reasonable skill in the representation of the inter- annual variability and ENSO signals as suggested by the observation. Despite these strengths, HIRHAM5 shows some shortcomings. One weakness of the model is the simulation of the magnitude of a given variable over a specific region. For example, HIRHAM5 driven by ERAI underestimates rainfall and overestimates surface temperature over the entire domain of East Africa. The higher resolution HIRHAM5 (10km resolution) overestimates rainfall over high ground. The model bias could be due in part to the inadequacy of the observation networks in East Africa, represented in this thesis by the CRU and FEWS datasets. However, these two datasets draw on some different sources and neither do they have the same resolution. FEWS is a high resolution data (0.1 o ) gridded satellite-derived precipitation estimate covering the entire African continent while CRU datasets is a relatively low resolution (0.5 o ) dataset based on rain gauge monthly precipitation only; in addition , near surface temperature is also available. As no reliable wind observations exist, wind data was taken from the ERA-Interim reanalysis. The different observational datasets do not agree particularly well, which impedes evaluating the quality of the HIRHAM5 simulations, in particular the high resolution one. So while the higher resolution HIRHAM5 appears to be generally reliable, caution must be exercised in formulating conclusions from the results, especially over high ground and remote areas without adequate observation data. Under these constraints, the results suggest HIRHAM5 may be useful for assessing climate variability and change over East Africa. A weakness of the analysis presented here is that only one combination of GCM and RCM could be investigated in depth due to computer and time constraints. Therefore the results presented here, if used in application for climate change adaptation, should be considered in conjunction with a broader suite of data, such from the CORDEX programme. This has potential to increase the reliability of information about climate variability and change at a regional to local level necessary for impact assessment.
Libros sobre el tema "High-resolution Regional Climate Model"
Meissner, Cathérine. High-resolution sensitivity studies with the regional climate model COSMO-CLM. Karlsruhe: Univ.-Verl. Karlsruhe, 2008.
Buscar texto completoCrane, Robert G. Regional climate change predictions from the Goddard Institute for Space Studies high resolution GCM. University Park, Pa: Pennsylvania State University, Dept. of Geography and the Earth System Science Center, 1990.
Buscar texto completoDorn, Wolfgang. Natürliche Klimavariationen der Arktis in einem regionalen hochauflösenden Atmosphärenmodell =: Natural climate variations of the Arctic in a regional high-resolution atmosphere model. Bremerhaven: Alfred-Wegener-Institut für Polar- und Meeresforschung, 2002.
Buscar texto completoCrane, Robert G. Regional climate change predictions from the Goddard Institute for Space Studies high resolution GCM: Final report, NASA grant NAG 5-1133, May 1989 - October 1991. [Washington, D.C: National Aeronautics and Space Administration, 1990.
Buscar texto completoW, Zack John, Karyampudi V. Mohan y United States. National Aeronautics and Space Administration., eds. Development of high resolution simulations of the atmospheric environment using the MASS model. Hampton, Va: MESO Inc., 1990.
Buscar texto completoService, Canadian Forest y Rocky Mountain Research Station (Fort Collins, Colo.), eds. High resolution interpolation of climate scenarios for the conterminous USA and Alaska derived from general circulation model simulations. Fort Collins, CO: U.S. Dept. of Agriculture, Forest Service, Rocky Mountain Research Station, 2011.
Buscar texto completoGao, Yanhong y Deliang Chen. Modeling of Regional Climate over the Tibetan Plateau. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.591.
Texto completoCook, Kerry H. Climate Change Scenarios and African Climate Change. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.545.
Texto completoGoswami, B. N. y Soumi Chakravorty. Dynamics of the Indian Summer Monsoon Climate. Oxford University Press, 2017. http://dx.doi.org/10.1093/acrefore/9780190228620.013.613.
Texto completoBusuioc, Aristita y Alexandru Dumitrescu. Empirical-Statistical Downscaling: Nonlinear Statistical Downscaling. Oxford University Press, 2018. http://dx.doi.org/10.1093/acrefore/9780190228620.013.770.
Texto completoCapítulos de libros sobre el tema "High-resolution Regional Climate Model"
Panitz, H. J., G. Fosser, R. Sasse, K. Sedlmeier, S. Mieruch, M. Breil, H. Feldmann y G. Schädler. "High Resolution Climate Modeling with the CCLM Regional Model". En High Performance Computing in Science and Engineering ‘13, 511–27. Cham: Springer International Publishing, 2013. http://dx.doi.org/10.1007/978-3-319-02165-2_35.
Texto completoYoshizaki, Masanori, Chiashi Muroi, Hisaki Eito, Sachie Kanada, Yasutaka Wakazuki y Akihiro Hashimoto. "Simulations of Forecast and Climate Modes Using Non-Hydrostatic Regional Models". En High Resolution Numerical Modelling of the Atmosphere and Ocean, 129–39. New York, NY: Springer New York, 2008. http://dx.doi.org/10.1007/978-0-387-49791-4_8.
Texto completoMystakidis, S., P. Zanis, C. Dogras, E. Katragkou, I. Pytharoulis, D. Melas, E. Anadranistakis y H. Feidas. "Optimization of a Regional Climate Model for High Resolution Simulations over Greece". En Advances in Meteorology, Climatology and Atmospheric Physics, 623–29. Berlin, Heidelberg: Springer Berlin Heidelberg, 2012. http://dx.doi.org/10.1007/978-3-642-29172-2_89.
Texto completoPanitz, H. J., G. Schädler, M. Breil, S. Mieruch, H. Feldmann, K. Sedlmeier, N. Laube y M. Uhlig. "High Resolution Climate Modelling with the CCLM Regional Model for Europe and Africa". En High Performance Computing in Science and Engineering ‘14, 561–74. Cham: Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-10810-0_37.
Texto completoVazquez, Ruben, Ivan Parras-Berrocal, William Cabos, Dmitry V. Sein, Rafael Mañanes, Juan I. Perez y Alfredo Izquierdo. "Climate Evaluation of a High-Resolution Regional Model over the Canary Current Upwelling System". En Lecture Notes in Computer Science, 240–52. Cham: Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-22747-0_19.
Texto completoTeske, Sven, Jaysson Guerrero Orbe, Jihane Assaf, Souran Chatterjee, Benedek Kiss y Diana Ürge-Vorsatz. "Methodology". En Achieving the Paris Climate Agreement Goals, 25–59. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-030-99177-7_3.
Texto completoWijaya, I. Putu Krishna, Peeranan Towashiraporn, Anish Joshi, Susantha Jayasinghe, Anggraini Dewi y Md Nurul Alam. "Climate Change-Induced Regional Landslide Hazard and Exposure Assessment for Aiding Climate Resilient Road Infrastructure Planning: A Case Study in Bagmati and Madhesh Provinces, Nepal". En Progress in Landslide Research and Technology, Volume 1 Issue 1, 2022, 175–84. Cham: Springer International Publishing, 2023. http://dx.doi.org/10.1007/978-3-031-16898-7_12.
Texto completoPanitz, H. J., G. Schädler, M. Breil, S. Mieruch, H. Feldmann, K. Sedlmeier, N. Laube y M. Uhlig. "Application of the Regional Climate Model CCLM for Studies on Urban Climate Change in Stuttgart and Decadal Climate Prediction in Europe and Africa". En High Performance Computing in Science and Engineering ´15, 593–606. Cham: Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-24633-8_38.
Texto completoMacelloni, Myrta Maria, Elisabetta Corte, Andrea Ajmar, Alberto Cina, Fabio Giulio Tonolo, Paolo Felice Maschio y Isabella Nicole Pisoni. "Multi-platform, Multi-scale and Multi-temporal 4D Glacier Monitoring. The Rutor Glacier Case Study". En Geomatics for Green and Digital Transition, 392–404. Cham: Springer International Publishing, 2022. http://dx.doi.org/10.1007/978-3-031-17439-1_29.
Texto completoEngelbrecht, Francois A., Jessica Steinkopf, Jonathan Padavatan y Guy F. Midgley. "Projections of Future Climate Change in Southern Africa and the Potential for Regional Tipping Points". En Sustainability of Southern African Ecosystems under Global Change, 169–90. Cham: Springer International Publishing, 2024. http://dx.doi.org/10.1007/978-3-031-10948-5_7.
Texto completoActas de conferencias sobre el tema "High-resolution Regional Climate Model"
Anwar, Samy Ashraf, Zeinab Salah, Wael Khald y Ashraf Saber Zakey. "Projecting the Potential Evapotranspiration of Egypt Using a High-Resolution Regional Climate Model (RegCM4)". En ECAS 2022. Basel Switzerland: MDPI, 2022. http://dx.doi.org/10.3390/ecas2022-12841.
Texto completoMašek, Ján. "Climate configuration of the model ALADIN at CHMI". En První konference PERUN. Český hydrometeorologický ústav, 2023. http://dx.doi.org/10.59984/978-80-7653-063-8.06.
Texto completoBhattacharya, Tanmoyee, Deepak Khare y Manohar Arora. "Hydrologic Impact assessment of glaciated BEAS river basin using High Resolution Climate Simulations from CORDEX Regional Climate Models". En 2019 International Conference on Intelligent Computing and Remote Sensing (ICICRS). IEEE, 2019. http://dx.doi.org/10.1109/icicrs46726.2019.9555850.
Texto completoAnwar, Samy Ashraf y Irida Lazić. "Estimating the Potential Evapotranspiration of Egypt Using a Regional Climate Model and a High-Resolution Reanalysis Dataset". En ECWS-7 2023. Basel Switzerland: MDPI, 2023. http://dx.doi.org/10.3390/ecws-7-14253.
Texto completo"High resolution regional climate model simulations available through the ACECRC Climate Futures team: What we have and how they can be used". En 22nd International Congress on Modelling and Simulation. Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2017. http://dx.doi.org/10.36334/modsim.2017.h11.remenyi.
Texto completoMostafa, Sally Mahmoud, Samy Ashraf Anwar, Ashraf Saber Zakey y Mohamed Magdy Abdel Wahab. "Bias-Correcting the Maximum and Minimum Air Temperatures of Egypt Using a High-Resolution Regional Climate Model (RegCM4)". En ASEC 2022. Basel Switzerland: MDPI, 2022. http://dx.doi.org/10.3390/asec2022-13852.
Texto completoHoltanová, Eva y Tomáš Halenka. "Assessment of uncertainty of the PERUN climate change scenarios". En První konference PERUN. Český hydrometeorologický ústav, 2023. http://dx.doi.org/10.59984/978-80-7653-063-8.04.
Texto completoAnwar, Samy Ashraf. "Simulating Daily Soil Temperature in Egypt Using a High-Resolution Regional Climate Model: Sensitivity to Soil Moisture and Temperature Initial Conditions". En ASEC 2023. Basel Switzerland: MDPI, 2023. http://dx.doi.org/10.3390/asec2023-15368.
Texto completoWang, Lei, Tao Feng, Zehn Cai, Xunjian Xu, Li Li y Zhou Jian. "Dynamic prediction of ice disaster in Hunan power grid in the late January of 2022 using a high resolution regional climate model". En 2022 China International Conference on Electricity Distribution (CICED). IEEE, 2022. http://dx.doi.org/10.1109/ciced56215.2022.9929030.
Texto completoCAIAN, Mihaela, Crina RADU y Georgeta BANDOC. "Changes in Breeze Warmest Summers for the Romanian Black Sea Coast in Climate Scenarios for the Time Horizon 2050". En Air and Water – Components of the Environment 2021 Conference Proceedings. Casa Cărţii de Ştiinţă, 2021. http://dx.doi.org/10.24193/awc2021_14.
Texto completoInformes sobre el tema "High-resolution Regional Climate Model"
Cassano, John. Collaborative Research: Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic Using a High-Resolution Regional Arctic Climate Model. Office of Scientific and Technical Information (OSTI), junio de 2013. http://dx.doi.org/10.2172/1086625.
Texto completoGutowski, William J. COLLABORATIVE RESEARCH: TOWARDS ADVANCED UNDERSTANDING AND PREDICTIVE CAPABILITY OF CLIMATE CHANGE IN THE ARCTIC USING A HIGH-RESOLUTION REGIONAL ARCTIC CLIMATE SYSTEM MODEL. Office of Scientific and Technical Information (OSTI), febrero de 2013. http://dx.doi.org/10.2172/1062533.
Texto completoLettenmaier, Dennis P. Collaborative Research: Towards Advanced Understanding and Predictive Capability of Climate Change in the Arctic using a High-Resolution Regional Arctic Climate System Model. Office of Scientific and Technical Information (OSTI), abril de 2013. http://dx.doi.org/10.2172/1072967.
Texto completoKeller, David P., Neha Mehendale y Tronje P. Kemena. Analysis (report) of high- resolution modelling of efficacy, and regional impacts of selected ocean NETs close to the deployment sites. OceanNets, noviembre de 2023. http://dx.doi.org/10.3289/oceannets_d4.3_v1.
Texto completoAalto, Juha y Ari Venäläinen, eds. Climate change and forest management affect forest fire risk in Fennoscandia. Finnish Meteorological Institute, junio de 2021. http://dx.doi.org/10.35614/isbn.9789523361355.
Texto completoMaltrud, Mathew E. High Resolution Fully Coupled Climate Simulations for Investigation of Regional Interactions. Office of Scientific and Technical Information (OSTI), abril de 2014. http://dx.doi.org/10.2172/1129818.
Texto completoThoma, David. Landscape phenology, vegetation condition, and relations with climate at Canyonlands National Park, 2000–2019. Editado por Alice Wondrak Biel. National Park Service, junio de 2023. http://dx.doi.org/10.36967/2299619.
Texto completoThoma, David. Landscape phenology, vegetation condition, and relations with climate at Capitol Reef National Park, 2000–2019. Editado por Alice Wondrak Biel. National Park Service, marzo de 2023. http://dx.doi.org/10.36967/2297289.
Texto completoSchunk, Robert W. USU Gauss-Markov Model: High Resolution Regional Capability and Support for AFWA. Fort Belvoir, VA: Defense Technical Information Center, septiembre de 2006. http://dx.doi.org/10.21236/ada613100.
Texto completoRobert E. Dickinson. Lane Processes in a High Resolution Community Climate Model with Sub-Grid Scale Prameterizations. Office of Scientific and Technical Information (OSTI), diciembre de 1997. http://dx.doi.org/10.2172/840811.
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