{"title":"CORDEX - Advancing High Resolution Climate Information and its Use in Society","authors":"Iréne Lake, Melissa S. Bukovsky","doi":"10.1175/bams-d-24-0088.1","DOIUrl":"https://doi.org/10.1175/bams-d-24-0088.1","url":null,"abstract":"\"CORDEX - Advancing High Resolution Climate Information and its Use in Society\" published on 31 May 2024 by American Meteorological Society.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":"63 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141196984","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-31DOI: 10.1175/bams-d-24-0138.1
Dominic Matte, Jens H. Christensen, Martin Drews, Stefan Sobolowski, Dominique Paquin, Amanda Lynch, Scott Bremer, Ida Engholm, Nicolas D. Brunet, Erik W. Kolstad, Helena Kettleborough, Vikki Thompson, Emanuele Bevacqua, Dorothy Heinrich, Sara C Pryor, Andrea Böhnisch, Frauke Feser, Andreas F Prein, Erich Fischer, Martin Leduc
"How to engage and adapt to unprecedented extremes" published on 31 May 2024 by American Meteorological Society.
美国气象学会于 2024 年 5 月 31 日发表了 "如何参与和适应前所未有的极端天气"。
{"title":"How to engage and adapt to unprecedented extremes","authors":"Dominic Matte, Jens H. Christensen, Martin Drews, Stefan Sobolowski, Dominique Paquin, Amanda Lynch, Scott Bremer, Ida Engholm, Nicolas D. Brunet, Erik W. Kolstad, Helena Kettleborough, Vikki Thompson, Emanuele Bevacqua, Dorothy Heinrich, Sara C Pryor, Andrea Böhnisch, Frauke Feser, Andreas F Prein, Erich Fischer, Martin Leduc","doi":"10.1175/bams-d-24-0138.1","DOIUrl":"https://doi.org/10.1175/bams-d-24-0138.1","url":null,"abstract":"\"How to engage and adapt to unprecedented extremes\" published on 31 May 2024 by American Meteorological Society.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":"31 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141196782","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract The continued development of General Circulation Models (GCMs) towards increasing resolution and complexity is a predominantly chosen strategy to advance climate science, resulting in channelling of research and funding to meet this aspiration. Yet many other modelling strategies have also been developed and can be used to understand past and present climates, to project future climates and ultimately to support decision-making. We argue that a plurality of climate modelling strategies and an equitable distribution of funding among them would be an improvement on the current predominant strategy for informing policy making. To support our claim, we use a philosophy of science approach to compare increasing resolution and complexity of General Circulation Models with three alternate examples: the use of machine learning techniques, the physical climate storyline approach, and Earth System Models of Intermediate Complexity. We show that each of these strategies prioritises a particular set of methodological aims, among which are empirical agreement, realism, comprehensiveness, diversity of process representations, inclusion of the human dimension, reduction of computational expense, and intelligibility. Thus, each strategy may provide adequate information to support different specific kinds of research and decision questions. We conclude that, because climate decision-making consists of different kinds of questions, many modelling strategies are all potentially useful, and can be used in a complementary way.
{"title":"For a Pluralism of Climate Modelling Strategies","authors":"Marina Baldissera Pacchetti, Julie Jebeile, Erica Thompson","doi":"10.1175/bams-d-23-0169.1","DOIUrl":"https://doi.org/10.1175/bams-d-23-0169.1","url":null,"abstract":"Abstract The continued development of General Circulation Models (GCMs) towards increasing resolution and complexity is a predominantly chosen strategy to advance climate science, resulting in channelling of research and funding to meet this aspiration. Yet many other modelling strategies have also been developed and can be used to understand past and present climates, to project future climates and ultimately to support decision-making. We argue that a plurality of climate modelling strategies and an equitable distribution of funding among them would be an improvement on the current predominant strategy for informing policy making. To support our claim, we use a philosophy of science approach to compare increasing resolution and complexity of General Circulation Models with three alternate examples: the use of machine learning techniques, the physical climate storyline approach, and Earth System Models of Intermediate Complexity. We show that each of these strategies prioritises a particular set of methodological aims, among which are empirical agreement, realism, comprehensiveness, diversity of process representations, inclusion of the human dimension, reduction of computational expense, and intelligibility. Thus, each strategy may provide adequate information to support different specific kinds of research and decision questions. We conclude that, because climate decision-making consists of different kinds of questions, many modelling strategies are all potentially useful, and can be used in a complementary way.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":"50 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2024-05-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141198064","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Abstract Longwave downward radiation (LWDR) is an important driving parameter in climate and hydrological models. Compared to traditional ground-based measurements, remote sensing has unique advantages in estimating global LWDR. However, for current remote sensing missions, as the typical available satellite-derived LWDR product with global coverage and hourly temporal resolution, the Clouds and the Earth’s Radiant Energy System-Synoptic (CERES-SYN) top of atmosphere and surface fluxes and clouds has a low spatial resolution (1° × 1°). There is still much room for improvement of the existing remote sensing LWDR products in terms of accuracy, spatiotemporal resolutions, and the ability to explain and quantify the changes of longwave radiation at various scales. To overcome these limitations, this paper developed a new global LWDR product with improved accuracy (the RMSE < 30 W/m2 over the globe), high temporal resolution (hourly), and spatial resolution (5 km) based on Moderate Resolution Imaging Spectroradiometer (MODIS) measurements. It serves as a LWDR product within the Long-term Earth System spatiotemporally Seamless Radiation budget dataset (referred to as LessRad). As the first long-term high-resolution, spatiotemporally continuous LWDR product (2002-2022, 1 h, 5 km), the LessRad reveals its advantages in studying the spatiotemporal variability of LWDR on finer scales. It also provides a valuable data source for various applications, such as analyzing land-atmosphere interactions and quantifying climate feedback, and thus, is potentially helpful for understanding the earth’s energy budget and dynamics.
{"title":"Towards user-friendly all-sky surface longwave downward radiation from space: General scheme and product","authors":"Yihan Du, Tianxing Wang, Yu Zhou, Husi Letu, Dahui Li, Yuyang Xian","doi":"10.1175/bams-d-23-0126.1","DOIUrl":"https://doi.org/10.1175/bams-d-23-0126.1","url":null,"abstract":"Abstract Longwave downward radiation (LWDR) is an important driving parameter in climate and hydrological models. Compared to traditional ground-based measurements, remote sensing has unique advantages in estimating global LWDR. However, for current remote sensing missions, as the typical available satellite-derived LWDR product with global coverage and hourly temporal resolution, the Clouds and the Earth’s Radiant Energy System-Synoptic (CERES-SYN) top of atmosphere and surface fluxes and clouds has a low spatial resolution (1° × 1°). There is still much room for improvement of the existing remote sensing LWDR products in terms of accuracy, spatiotemporal resolutions, and the ability to explain and quantify the changes of longwave radiation at various scales. To overcome these limitations, this paper developed a new global LWDR product with improved accuracy (the RMSE < 30 W/m2 over the globe), high temporal resolution (hourly), and spatial resolution (5 km) based on Moderate Resolution Imaging Spectroradiometer (MODIS) measurements. It serves as a LWDR product within the Long-term Earth System spatiotemporally Seamless Radiation budget dataset (referred to as LessRad). As the first long-term high-resolution, spatiotemporally continuous LWDR product (2002-2022, 1 h, 5 km), the LessRad reveals its advantages in studying the spatiotemporal variability of LWDR on finer scales. It also provides a valuable data source for various applications, such as analyzing land-atmosphere interactions and quantifying climate feedback, and thus, is potentially helpful for understanding the earth’s energy budget and dynamics.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":"45 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2024-05-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140881354","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-06DOI: 10.1175/bams-d-23-0333.1
J. Vilà-Guerau de Arellano, O. K. Hartogensis, H. de Boer, R. Moonen, R. González-Armas, M. Janssens, G. A. Adnew, D. J. Bonell-Fontás, S. Botía, S. P. Jones, H. van Asperen, S. Komiya, V. S. de Feiter, D. Rikkers, S. de Haas, L. A. T. Machado, C. Q. Dias-Junior, G. Giovanelli-Haytzmann, W. I. D. Valenti, R. C. Figueiredo, C. S. Farias, D. H. Hall, A. C. S. Mendonça, F. A. G. da Silva, J. L. Marton da Silva, R. Souza, G. Martins, J. N. Miller, W. B. Mol, B. Heusinkveld, C. C. van Heerwaarden, F. A. F. D’Oliveira, R. Rodrigues Ferreira, R. Acosta Gotuzzo, G. Pugliese, J. Williams, A. Ringsdorf, A. Edtbauer, C. A. Quesada, B. Takeshi Tanaka Portela, E. Gomes Alves, C. Pöhlker, S. Trumbore, J. Lelieveld, T. Röckmann
Abstract How are rainforest photosynthesis and turbulent fluxes influenced by clouds? To what extent are clouds affected by local processes driven by rainforest energy, water and carbon fluxes? These interrelated questions were the main drivers of the intensive field experiment CloudRoots-Amazon22 which took place at the ATTO/Campina supersites in the Amazon rainforest during the dry season, in August 2022. CloudRoots-Amazon22 collected observational data to derive cause-effect relationships between processes occurring at the leaf-level up to canopy scales in relation to the diurnal evolution of the clear-to-cloudy transition. First, we studied the impact of cloud and canopy radiation perturbations on the sub-diurnal variability of stomatal conductance. Stoma opening is larger in the morning, modulated by the cloud optical thickness. Second, we combined 1 Hz-frequency measurements of the stable isotopologues of carbon dioxide and water vapor with measurements of turbulence to determine carbon dioxide and water vapor sources and sinks within the canopy. Using scintillometer observations, we inferred 1-minute sensible heat flux that responded within minutes to the cloud passages. Third, collocated profiles of state variables and greenhouse gases enabled us to determine the role of clouds in vertical transport. We then inferred, using canopy and upper-atmospheric observations and a parameterization, the cloud cover and cloud mass flux to establish causality between canopy and cloud processes. This shows the need of comprehensive observational set to improve weather and climate model representations. Our findings contribute to advance our knowledge of the coupling between cloudy boundary layers and primary carbon productivity of the Amazon rainforest.
{"title":"CloudRoots-Amazon22: Integrating clouds with photosynthesis by crossing scales","authors":"J. Vilà-Guerau de Arellano, O. K. Hartogensis, H. de Boer, R. Moonen, R. González-Armas, M. Janssens, G. A. Adnew, D. J. Bonell-Fontás, S. Botía, S. P. Jones, H. van Asperen, S. Komiya, V. S. de Feiter, D. Rikkers, S. de Haas, L. A. T. Machado, C. Q. Dias-Junior, G. Giovanelli-Haytzmann, W. I. D. Valenti, R. C. Figueiredo, C. S. Farias, D. H. Hall, A. C. S. Mendonça, F. A. G. da Silva, J. L. Marton da Silva, R. Souza, G. Martins, J. N. Miller, W. B. Mol, B. Heusinkveld, C. C. van Heerwaarden, F. A. F. D’Oliveira, R. Rodrigues Ferreira, R. Acosta Gotuzzo, G. Pugliese, J. Williams, A. Ringsdorf, A. Edtbauer, C. A. Quesada, B. Takeshi Tanaka Portela, E. Gomes Alves, C. Pöhlker, S. Trumbore, J. Lelieveld, T. Röckmann","doi":"10.1175/bams-d-23-0333.1","DOIUrl":"https://doi.org/10.1175/bams-d-23-0333.1","url":null,"abstract":"Abstract How are rainforest photosynthesis and turbulent fluxes influenced by clouds? To what extent are clouds affected by local processes driven by rainforest energy, water and carbon fluxes? These interrelated questions were the main drivers of the intensive field experiment CloudRoots-Amazon22 which took place at the ATTO/Campina supersites in the Amazon rainforest during the dry season, in August 2022. CloudRoots-Amazon22 collected observational data to derive cause-effect relationships between processes occurring at the leaf-level up to canopy scales in relation to the diurnal evolution of the clear-to-cloudy transition. First, we studied the impact of cloud and canopy radiation perturbations on the sub-diurnal variability of stomatal conductance. Stoma opening is larger in the morning, modulated by the cloud optical thickness. Second, we combined 1 Hz-frequency measurements of the stable isotopologues of carbon dioxide and water vapor with measurements of turbulence to determine carbon dioxide and water vapor sources and sinks within the canopy. Using scintillometer observations, we inferred 1-minute sensible heat flux that responded within minutes to the cloud passages. Third, collocated profiles of state variables and greenhouse gases enabled us to determine the role of clouds in vertical transport. We then inferred, using canopy and upper-atmospheric observations and a parameterization, the cloud cover and cloud mass flux to establish causality between canopy and cloud processes. This shows the need of comprehensive observational set to improve weather and climate model representations. Our findings contribute to advance our knowledge of the coupling between cloudy boundary layers and primary carbon productivity of the Amazon rainforest.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":"31 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140881508","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-06DOI: 10.1175/bams-d-23-0241.1
Jonghun Kam, Seung-Ki Min, Byeong-Hee Kim, Yeon-Hee Kim, Leandro B. Diaz, Jong-Seong Kug, Rokjin Park
CMIP6 simulations showed a weak human contribution to 2022-like Central Andes spring droughts, due to compensating impacts between anthropogenic greenhouse gases and aerosols.
{"title":"Climate Models Indicate Compensating Effects between Anthropogenic Greenhouse Gases and Aerosols on the 2022 Central Andes Spring Drought","authors":"Jonghun Kam, Seung-Ki Min, Byeong-Hee Kim, Yeon-Hee Kim, Leandro B. Diaz, Jong-Seong Kug, Rokjin Park","doi":"10.1175/bams-d-23-0241.1","DOIUrl":"https://doi.org/10.1175/bams-d-23-0241.1","url":null,"abstract":"CMIP6 simulations showed a weak human contribution to 2022-like Central Andes spring droughts, due to compensating impacts between anthropogenic greenhouse gases and aerosols.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":"16 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2024-05-06","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140881511","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-02DOI: 10.1175/bams-d-23-0064.1
Paolo Laj, Cathrine Lund Myhre, Véronique Riffault, Vassilis Amiridis, Hendrik Fuchs, Konstantinos Eleftheriadis, Tuukka Petäjä, Thérèse Salameh, Niku Kivekäs, Eija Juurola, Giulia Saponaro, Sabine Philippin, Carmela Cornacchia, Lucas Alados Arboledas, Holger Baars, Anja Claude, Martine De Mazière, Bart Dils, Marvin Dufresne, Nikolaos Evangeliou, Olivier Favez, Markus Fiebig, Martial Haeffelin, Hartmut Herrmann, Kristina Höhler, Niklas Illmann, Axel Kreuter, Elke Ludewig, Eleni Marinou, Ottmar Möhler, Lucia Mona, Lise Eder Murberg, Doina Nicolae, Anna Novelli, Ewan O'Connor, Kevin Ohneiser, Rosa Maria Petracca Altieri, Bénédicte Picquet-Varrault, Dominik van Pinxteren, Bernhard Pospichal, Jean-Philippe Putaud, Stefan Reimann, Nikolaos Siomos, Iwona Stachlewska, Ralf Tillmann, Kalliopi Artemis Voudouri, Ulla Wandinger, Alfred Wiedensohler, Arnoud Apituley, Adolfo Comerón, Martin Gysel-Beer, Nikolaos Mihalopoulos, Nina Nikolova, Aleksander Pietruczuk, Stéphane Sauvage, Jean Sciare, Henrik Skov, Tove Svendby, Erik Swietlicki, Dimitar Tonev, Geraint Vaughan, Vladimir Zdimal, Urs Baltensperger, Jean-François Doussin, Markku Kulmala, Gelsomina Pappalardo, Sanna Sorvari Sundet, Milan Vana
Abstract The Aerosol, Clouds and Trace Gases Research Infrastructure (ACTRIS) officially became the 33rd European Research Infrastructure Consortium (ERIC) on April 25, 2023 with the support of 17 founding member and observer countries. As a pan-European legal organization, ACTRIS ERIC will coordinate the provision of data and data products on short-lived atmospheric constituents and clouds relevant to climate and air pollution over the next 15-20 years. ACTRIS was designed more than a decade ago, and its development was funded at national and European levels. It was included in the European Strategy Forum on Research Infrastructures (ESFRI) Roadmap in 2016 and subsequently, in the national infrastructure roadmaps of European countries. It became a landmark of the ESFRI roadmap in 2021. The purpose of this paper is to describe the mission of ACTRIS, its added value to the community of atmospheric scientists, providing services to academia as well as the public and private sectors, and to summarize its main achievements. The present publication serves as a reference document for ACTRIS, its users and the scientific community as a whole. It provides the reader with relevant information and an overview on ACTRIS governance and services, as well as a summary of the main scientific achievements of the last 20 years. The paper concludes with an outlook on the upcoming challenges for ACTRIS and the strategy for its future evolution.
{"title":"Aerosol, Clouds and Trace Gases Research Infrastructure – ACTRIS, the European research infrastructure supporting atmospheric science","authors":"Paolo Laj, Cathrine Lund Myhre, Véronique Riffault, Vassilis Amiridis, Hendrik Fuchs, Konstantinos Eleftheriadis, Tuukka Petäjä, Thérèse Salameh, Niku Kivekäs, Eija Juurola, Giulia Saponaro, Sabine Philippin, Carmela Cornacchia, Lucas Alados Arboledas, Holger Baars, Anja Claude, Martine De Mazière, Bart Dils, Marvin Dufresne, Nikolaos Evangeliou, Olivier Favez, Markus Fiebig, Martial Haeffelin, Hartmut Herrmann, Kristina Höhler, Niklas Illmann, Axel Kreuter, Elke Ludewig, Eleni Marinou, Ottmar Möhler, Lucia Mona, Lise Eder Murberg, Doina Nicolae, Anna Novelli, Ewan O'Connor, Kevin Ohneiser, Rosa Maria Petracca Altieri, Bénédicte Picquet-Varrault, Dominik van Pinxteren, Bernhard Pospichal, Jean-Philippe Putaud, Stefan Reimann, Nikolaos Siomos, Iwona Stachlewska, Ralf Tillmann, Kalliopi Artemis Voudouri, Ulla Wandinger, Alfred Wiedensohler, Arnoud Apituley, Adolfo Comerón, Martin Gysel-Beer, Nikolaos Mihalopoulos, Nina Nikolova, Aleksander Pietruczuk, Stéphane Sauvage, Jean Sciare, Henrik Skov, Tove Svendby, Erik Swietlicki, Dimitar Tonev, Geraint Vaughan, Vladimir Zdimal, Urs Baltensperger, Jean-François Doussin, Markku Kulmala, Gelsomina Pappalardo, Sanna Sorvari Sundet, Milan Vana","doi":"10.1175/bams-d-23-0064.1","DOIUrl":"https://doi.org/10.1175/bams-d-23-0064.1","url":null,"abstract":"Abstract The Aerosol, Clouds and Trace Gases Research Infrastructure (ACTRIS) officially became the 33rd European Research Infrastructure Consortium (ERIC) on April 25, 2023 with the support of 17 founding member and observer countries. As a pan-European legal organization, ACTRIS ERIC will coordinate the provision of data and data products on short-lived atmospheric constituents and clouds relevant to climate and air pollution over the next 15-20 years. ACTRIS was designed more than a decade ago, and its development was funded at national and European levels. It was included in the European Strategy Forum on Research Infrastructures (ESFRI) Roadmap in 2016 and subsequently, in the national infrastructure roadmaps of European countries. It became a landmark of the ESFRI roadmap in 2021. The purpose of this paper is to describe the mission of ACTRIS, its added value to the community of atmospheric scientists, providing services to academia as well as the public and private sectors, and to summarize its main achievements. The present publication serves as a reference document for ACTRIS, its users and the scientific community as a whole. It provides the reader with relevant information and an overview on ACTRIS governance and services, as well as a summary of the main scientific achievements of the last 20 years. The paper concludes with an outlook on the upcoming challenges for ACTRIS and the strategy for its future evolution.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":"12 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140842075","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-02DOI: 10.1175/bams-d-24-0002.1
Ruth Mottram, Michiel van den Broeke, Andrew Meijers, Christian Rodehacke, Rebecca L. Dell, Anna E. Hogg, Benjamin J. Davison, Stef Lhermitte, Nicolaj Hansen, Jose Abraham Torres Alavez, Martin Olesen
"Determining the freshwater fluxes from Antarctica with earth observation data, models and in-situ measurements: Uncertainties, knowledge gaps and prospects for new advances" published on 02 May 2024 by American Meteorological Society.
{"title":"Determining the freshwater fluxes from Antarctica with earth observation data, models and in-situ measurements: Uncertainties, knowledge gaps and prospects for new advances","authors":"Ruth Mottram, Michiel van den Broeke, Andrew Meijers, Christian Rodehacke, Rebecca L. Dell, Anna E. Hogg, Benjamin J. Davison, Stef Lhermitte, Nicolaj Hansen, Jose Abraham Torres Alavez, Martin Olesen","doi":"10.1175/bams-d-24-0002.1","DOIUrl":"https://doi.org/10.1175/bams-d-24-0002.1","url":null,"abstract":"\"Determining the freshwater fluxes from Antarctica with earth observation data, models and in-situ measurements: Uncertainties, knowledge gaps and prospects for new advances\" published on 02 May 2024 by American Meteorological Society.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":"25 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140841712","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-05-02DOI: 10.1175/bams-d-23-0242.1
Xubin Zeng, Lincoln Alves, Marie-Amélie Boucher, Annalisa Cherchi, Charlotte DeMott, A.P. Dimri, Andrew Gettelman, Edward Hanna, Takeshi Horinouchi, Jin Huang, Chris Lennard, L. Ruby Leung, Yali Luo, Meloth Thamban, Hindumathi Palanisamy, Sara C. Pryor, Marion Saint-Lu, Stefan P. Sobolowski, Detlef Stammer, Jakob Steiner, Bjorn Stevens, Stefan Uhlenbrook, Michael Wehner, Paquita Zuidema
Abstract The future state of the global water cycle and prediction of freshwater availability for humans around the world remain among the challenges of climate research and are relevant to several United Nations Sustainable Development Goals. The Global Precipitation EXperiment (GPEX) takes on the challenge of improving the prediction of precipitation quantity, phase, timing and intensity, characteristics that are products of a complex integrated system. It will achieve this by leveraging existing World Climate Research Programme (WCRP) activities and community capabilities in satellite, surface-based, and airborne observations, modeling and experimental research, and by conducting new and focused activities. It was launched in October 2023 as a WCRP Lighthouse Activity. Here we present an overview of the GPEX Science Plan that articulates the primary science questions related to precipitation measurements, process understanding, model performance and improvements, and plans for capacity development. The central phase of GPEX is the WCRP Years of Precipitation for 2-3 years with coordinated global field campaigns focusing on different storm types (atmospheric rivers, mesoscale convective systems, monsoons, and tropical cyclones, among others) over different regions and seasons. Activities are planned over the three phases (before, during, and after the Years of Precipitation) spanning a decade. These include gridded data evaluation and development, advanced modeling, enhanced understanding of processes critical to precipitation, multi-scale prediction of precipitation events across scales, and capacity development. These activities will be further developed as part of the GPEX Implementation Plan.
摘要 全球水循环的未来状况以及对全球人类淡水可用性的预测仍然是气候研究的挑战之一，并且与联合国的几个可持续发展目标相关。全球降水试验（Global Precipitation EXperiment，GPEX）面临的挑战是改进对降水量、降水阶段、降水时间和降水强度的预测，这些特征是复杂的综合系统的产物。为实现这一目标，它将利用世界气候研究计划（WCRP）的现有活动和社区在卫星、地表和机载观测、建模和实验研究方面的能力，并开展重点突出的新活动。该项目于2023年10月启动，是世界气候研究计划的一项灯塔活动。在此，我们将概述 GPEX 科学计划，该计划阐明了与降水测量、过程理解、模型性能和改进以及能力发展计划相关的主要科学问题。GPEX 的中心阶段是为期 2-3 年的 "世界气候研究方案降水年"（WCRP Years of Precipitation），通过协调全球实地活动，重点关注不同地区和季节的不同风暴类型（大气河流、中尺度对流系统、季风和热带气旋等）。计划在三个阶段（降水年之前、期间和之后）开展活动，时间跨度为十年。这些活动包括网格数据评估和开发、高级建模、加强对降水关键过程的了解、跨尺度降水事件的多尺度预测以及能力开发。这些活动将作为 GPEX 实施计划的一部分得到进一步发展。
{"title":"Global Precipitation Experiment - A New World Climate Research Programme Lighthouse Activity","authors":"Xubin Zeng, Lincoln Alves, Marie-Amélie Boucher, Annalisa Cherchi, Charlotte DeMott, A.P. Dimri, Andrew Gettelman, Edward Hanna, Takeshi Horinouchi, Jin Huang, Chris Lennard, L. Ruby Leung, Yali Luo, Meloth Thamban, Hindumathi Palanisamy, Sara C. Pryor, Marion Saint-Lu, Stefan P. Sobolowski, Detlef Stammer, Jakob Steiner, Bjorn Stevens, Stefan Uhlenbrook, Michael Wehner, Paquita Zuidema","doi":"10.1175/bams-d-23-0242.1","DOIUrl":"https://doi.org/10.1175/bams-d-23-0242.1","url":null,"abstract":"Abstract The future state of the global water cycle and prediction of freshwater availability for humans around the world remain among the challenges of climate research and are relevant to several United Nations Sustainable Development Goals. The Global Precipitation EXperiment (GPEX) takes on the challenge of improving the prediction of precipitation quantity, phase, timing and intensity, characteristics that are products of a complex integrated system. It will achieve this by leveraging existing World Climate Research Programme (WCRP) activities and community capabilities in satellite, surface-based, and airborne observations, modeling and experimental research, and by conducting new and focused activities. It was launched in October 2023 as a WCRP Lighthouse Activity. Here we present an overview of the GPEX Science Plan that articulates the primary science questions related to precipitation measurements, process understanding, model performance and improvements, and plans for capacity development. The central phase of GPEX is the WCRP Years of Precipitation for 2-3 years with coordinated global field campaigns focusing on different storm types (atmospheric rivers, mesoscale convective systems, monsoons, and tropical cyclones, among others) over different regions and seasons. Activities are planned over the three phases (before, during, and after the Years of Precipitation) spanning a decade. These include gridded data evaluation and development, advanced modeling, enhanced understanding of processes critical to precipitation, multi-scale prediction of precipitation events across scales, and capacity development. These activities will be further developed as part of the GPEX Implementation Plan.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":"12 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2024-05-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140841569","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
Pub Date : 2024-04-29DOI: 10.1175/bams-d-23-0188.1
Ryan J. Longman, Mathew P. Lucas, Jared Mclean, Sean B. Cleveland, Keri Kodama, Abby G. Frazier, Katie Kamelamela, Aimee Schriber, Michael Dodge, Gwen Jacobs, Thomas W. Giambelluca
Abstract The Hawai‘i Climate Data Portal (HCDP) is designed to facilitate streamlined access to a wide variety of climate data and information for the State of Hawai‘i. Prior to the development of the HCDP, gridded climate products and point datasets were fragmented, outdated, not easily accessible, and not available in near-real-time. To address these limitations, HCDP researchers developed the cyber-infrastructure necessary to 1) operationalize data acquisition and product production in a near-real-time environment, and 2) make data and products easily accessible to a wide range of users. The HCDP hosts several high-resolution (250 m) gridded products including monthly rainfall and daily temperature (maximum, minimum, and mean), station data, and gridded future projections of rainfall and temperature. HCDP users can visualize both gridded and point data, create and download custom maps, and query station and gridded data for export with relative ease. The “virtual station” feature allows users to create a climate time series at any grid point. The primary objective of the HCDP is to promote sharing and access to data and information to streamline research activities, improve awareness, and promote the development of tools and resources that can help to build adaptive capacities. The HCDP products have the potential to serve a wide range of users including researchers, resource managers, city planners, engineers, teachers, students, civil society organizations, and the broader community.
{"title":"The Hawai‘i Climate Data Portal (HCDP)","authors":"Ryan J. Longman, Mathew P. Lucas, Jared Mclean, Sean B. Cleveland, Keri Kodama, Abby G. Frazier, Katie Kamelamela, Aimee Schriber, Michael Dodge, Gwen Jacobs, Thomas W. Giambelluca","doi":"10.1175/bams-d-23-0188.1","DOIUrl":"https://doi.org/10.1175/bams-d-23-0188.1","url":null,"abstract":"Abstract The Hawai‘i Climate Data Portal (HCDP) is designed to facilitate streamlined access to a wide variety of climate data and information for the State of Hawai‘i. Prior to the development of the HCDP, gridded climate products and point datasets were fragmented, outdated, not easily accessible, and not available in near-real-time. To address these limitations, HCDP researchers developed the cyber-infrastructure necessary to 1) operationalize data acquisition and product production in a near-real-time environment, and 2) make data and products easily accessible to a wide range of users. The HCDP hosts several high-resolution (250 m) gridded products including monthly rainfall and daily temperature (maximum, minimum, and mean), station data, and gridded future projections of rainfall and temperature. HCDP users can visualize both gridded and point data, create and download custom maps, and query station and gridded data for export with relative ease. The “virtual station” feature allows users to create a climate time series at any grid point. The primary objective of the HCDP is to promote sharing and access to data and information to streamline research activities, improve awareness, and promote the development of tools and resources that can help to build adaptive capacities. The HCDP products have the potential to serve a wide range of users including researchers, resource managers, city planners, engineers, teachers, students, civil society organizations, and the broader community.","PeriodicalId":9464,"journal":{"name":"Bulletin of the American Meteorological Society","volume":"60 1","pages":""},"PeriodicalIF":8.0,"publicationDate":"2024-04-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"140808735","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":1,"RegionCategory":"地球科学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}
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