Responsible Party Info List
Get a list of ResponsiblePartyInfo objects. These link a Party (individual or organisation) to
a principal record type (e.g. Observation, Instrument, Project) and the role which the Party was
undertaking. Additionally, the priority value indicates an ordering that may be present for
that given role for the relatedTo object.
GET /api/v3/rpis/?format=api&offset=86700
{ "count": 181239, "next": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?format=api&limit=100&offset=86800", "previous": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?format=api&limit=100&offset=86600", "results": [ { "ob_id": 114957, "priority": 2, "role": "author", "party": { "ob_id": 888, "firstName": "Ian C", "lastName": "Harris", "partyType": "individual", "description": "Research Associate in Dendroclimatology, climate scenario development, data manipulation and visualisation, programming.\r\n\r\nIan is also often cited as Ian (Harry) Harris.\r\n", "deliveryPoint": "HIDDEN", "administrativeArea": "HIDDEN", "city": "HIDDEN", "country": "HIDDEN", "postalCode": "HIDDEN", "electronicEmailAddress": "HIDDEN", "phone": "HIDDEN", "onlineResource": "https://www.uea.ac.uk/environmental-sciences/people/profile/i-harris", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=888" }, "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 114958, "priority": 2, "role": "point_of_contact", "party": { "ob_id": 888, "firstName": "Ian C", "lastName": "Harris", "partyType": "individual", "description": "Research Associate in Dendroclimatology, climate scenario development, data manipulation and visualisation, programming.\r\n\r\nIan is also often cited as Ian (Harry) Harris.\r\n", "deliveryPoint": "HIDDEN", "administrativeArea": "HIDDEN", "city": "HIDDEN", "country": "HIDDEN", "postalCode": "HIDDEN", "electronicEmailAddress": "HIDDEN", "phone": "HIDDEN", "onlineResource": "https://www.uea.ac.uk/environmental-sciences/people/profile/i-harris", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=888" }, "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 114959, "priority": 3, "role": "author", "party": { "ob_id": 953, "firstName": "Philip D.", "lastName": "Jones", "partyType": "individual", "description": "Phil D Jones is Research Director of the Climatic Research Unit (CRU) and a Professor in the School of Environmental Sciences at the University of East Anglia in Norwich. He is principally known for the time series of hemispheric and global surface temperatures, which he updates on a monthly basis. He has over 400 research papers over the last 35 years. He has over 27,500 citations and an H-index of 82 on the ResearcherID system.\r\n\r\nHe has been a fellow of the Royal Meteorological Society since 1992 and was on the Editorial Committee of the International Journal of Climatology until 1995. He is currently on the editorial board of Climatic Change. He is an elected member of Academic Europaea since 1998.\r\n\r\nHe was jointly awarded the Hugh Robert Mill Medal in 1995 by the Royal Meteorological Society for work on UK Rainfall Variability, and in 1997 the Outstanding Scientific Paper Award by the Environmental Research Laboratories / NOAA for being a coauthor on the paper \"A search for Human Influences on the Thermal Structure of the Atmosphere,\" by Ben Santer et al. in Nature, 382, 39-46 (1996). More recently He was awarded the first Hans Oesschger Medal from the European Geophysical Society (now the European Geosciences Union) in 2002 and the International Journal of Climatology prize of the Royal Meteorological Society for papers published in the last five years, also in 2002. He is recognised as one of the top 0.5% of highly-cited researchers in the Geosciences field by the ISI (the institute in the US that maintains the Web of Science, where publications and citations are monitored. He was made (2006) a fellow of the American Meteorological Society and was awarded a Reviewer's Award by the American Geophysical Union (AGU) the same year. In 2009 He has also been made a fellow by the AGU. In 2012 he was awarded an Honorary Degree by the University Rovira I Virgili (Tarragona, Spain).\r\n\r\nApart from papers on instrumental temperatures, his other main fields are climate change, detection and attribution of climate, proxy climate reconstructions, climate extremes, climate impacts, weather generators, drought and long precipitation and riverflow reconstructions for the British Isles.\r\n\r\nCareer History\r\nBA in Environmental Sciences, University of Lancaster (1973)\r\nMSc in Engineering Hydrology, University of Newcastle Upon Tyne (1974)\r\nPhD in Hydrology, University of Newcastle Upon Tyne (1977)\r\nSenior Research Associate, Climatic Research Unit, University of East Anglia, Norwich (1976-1994)\r\nReader, Climatic Research Unit, University of East Anglia, Norwich (1994-1998)\r\nProfessor, Climatic Research Unit, University of East Anglia, Norwich (1998-date) ", "deliveryPoint": "HIDDEN", "administrativeArea": "HIDDEN", "city": "HIDDEN", "country": "HIDDEN", "postalCode": "HIDDEN", "electronicEmailAddress": "HIDDEN", "phone": "HIDDEN", "onlineResource": "https://www.uea.ac.uk/environmental-sciences/people/profile/p-jones", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=953" }, "relatedTo": { "ob_id": 27493, "uuid": "10d3e3640f004c578403419aac167d82", "short_code": "ob" } }, { "ob_id": 114960, "priority": 1, "role": "funder", "party": { "ob_id": 2618, "firstName": "", "lastName": "PRIMAVERA", "partyType": "organisation", "description": "The goal of PRocess-based climate sIMulation: AdVances in high-resolution modelling and European climate Risk Assessment (PRIMAVERA) is to deliver novel, advanced and well-evaluated high-resolution global climate models (GCMs), capable of simulating and predicting regional climate with unprecedented fidelity, out to 2050. This capability will deliver innovative climate science and a new generation of advanced Earth System Models. Sector-specific end-users in policy and business will be identified and engaged individually, with iterative feedback, to ensure that new climate information is tailored, actionable and strengthening societal risk management decisions.\r\nThese goals will be achieved through the development of coupled GCMs from seven groups across Europe, with sufficient resolution to reproduce realistic weather and climate features (~25km mesh size), in addition to enhanced process parameterisation. Thorough assessment will use innovative process-based metrics and the latest observational and reanalysis datasets. Targeted experimental design will reduce inter-model spread and produce robust projections, forming the European contribution to the CMIP6 High-Resolution Model Intercomparison Project, led by PRIMAVERA. \r\nIt is the first time that high-resolution coupled GCMs will be used under a single experimental protocol. Coordination, and the underlying process-understanding, will significantly increase the robustness of our findings. Our new capabilities will be used to improve understanding of the drivers of variability and change in European climate, including extremes, since such regional changes continue to be characterised by high uncertainty. \r\nWe will also explore the frontiers of climate modelling and of high performance computing to produce simulations with a reduced reliance on physical parameterisations. These will explicitly resolve key processes such as ocean eddies, and will include new stochastic parameterisations to represent sub-grid scale processes. These “frontiers” simulations will further our understanding of the robustness of climate projections.", "deliveryPoint": "", "administrativeArea": "", "city": "", "country": "", "postalCode": "", "electronicEmailAddress": "", "phone": "", "onlineResource": "https://www.primavera-h2020.eu/", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=2618" }, "relatedTo": { "ob_id": 27428, "uuid": "86bae05470f6453eb3d3c5ceef60a031", "short_code": "comp" } }, { "ob_id": 114961, "priority": 1, "role": "funder", "party": { "ob_id": 2618, "firstName": "", "lastName": "PRIMAVERA", "partyType": "organisation", "description": "The goal of PRocess-based climate sIMulation: AdVances in high-resolution modelling and European climate Risk Assessment (PRIMAVERA) is to deliver novel, advanced and well-evaluated high-resolution global climate models (GCMs), capable of simulating and predicting regional climate with unprecedented fidelity, out to 2050. This capability will deliver innovative climate science and a new generation of advanced Earth System Models. Sector-specific end-users in policy and business will be identified and engaged individually, with iterative feedback, to ensure that new climate information is tailored, actionable and strengthening societal risk management decisions.\r\nThese goals will be achieved through the development of coupled GCMs from seven groups across Europe, with sufficient resolution to reproduce realistic weather and climate features (~25km mesh size), in addition to enhanced process parameterisation. Thorough assessment will use innovative process-based metrics and the latest observational and reanalysis datasets. Targeted experimental design will reduce inter-model spread and produce robust projections, forming the European contribution to the CMIP6 High-Resolution Model Intercomparison Project, led by PRIMAVERA. \r\nIt is the first time that high-resolution coupled GCMs will be used under a single experimental protocol. Coordination, and the underlying process-understanding, will significantly increase the robustness of our findings. Our new capabilities will be used to improve understanding of the drivers of variability and change in European climate, including extremes, since such regional changes continue to be characterised by high uncertainty. \r\nWe will also explore the frontiers of climate modelling and of high performance computing to produce simulations with a reduced reliance on physical parameterisations. These will explicitly resolve key processes such as ocean eddies, and will include new stochastic parameterisations to represent sub-grid scale processes. These “frontiers” simulations will further our understanding of the robustness of climate projections.", "deliveryPoint": "", "administrativeArea": "", "city": "", "country": "", "postalCode": "", "electronicEmailAddress": "", "phone": "", "onlineResource": "https://www.primavera-h2020.eu/", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=2618" }, "relatedTo": { "ob_id": 27422, "uuid": "c297050b27114d31ae51f960baee2f33", "short_code": "proj" } }, { "ob_id": 114962, "priority": 2, "role": "metadata_owner", "party": { "ob_id": 2618, "firstName": "", "lastName": "PRIMAVERA", "partyType": "organisation", "description": "The goal of PRocess-based climate sIMulation: AdVances in high-resolution modelling and European climate Risk Assessment (PRIMAVERA) is to deliver novel, advanced and well-evaluated high-resolution global climate models (GCMs), capable of simulating and predicting regional climate with unprecedented fidelity, out to 2050. This capability will deliver innovative climate science and a new generation of advanced Earth System Models. Sector-specific end-users in policy and business will be identified and engaged individually, with iterative feedback, to ensure that new climate information is tailored, actionable and strengthening societal risk management decisions.\r\nThese goals will be achieved through the development of coupled GCMs from seven groups across Europe, with sufficient resolution to reproduce realistic weather and climate features (~25km mesh size), in addition to enhanced process parameterisation. Thorough assessment will use innovative process-based metrics and the latest observational and reanalysis datasets. Targeted experimental design will reduce inter-model spread and produce robust projections, forming the European contribution to the CMIP6 High-Resolution Model Intercomparison Project, led by PRIMAVERA. \r\nIt is the first time that high-resolution coupled GCMs will be used under a single experimental protocol. Coordination, and the underlying process-understanding, will significantly increase the robustness of our findings. Our new capabilities will be used to improve understanding of the drivers of variability and change in European climate, including extremes, since such regional changes continue to be characterised by high uncertainty. \r\nWe will also explore the frontiers of climate modelling and of high performance computing to produce simulations with a reduced reliance on physical parameterisations. These will explicitly resolve key processes such as ocean eddies, and will include new stochastic parameterisations to represent sub-grid scale processes. These “frontiers” simulations will further our understanding of the robustness of climate projections.", "deliveryPoint": "", "administrativeArea": "", "city": "", "country": "", "postalCode": "", "electronicEmailAddress": "", "phone": "", "onlineResource": "https://www.primavera-h2020.eu/", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=2618" }, "relatedTo": { "ob_id": 27421, "uuid": "18ea280ca1364c539468677926491e15", "short_code": "proj" } }, { "ob_id": 114963, "priority": 1, "role": "funder", "party": { "ob_id": 2618, "firstName": "", "lastName": "PRIMAVERA", "partyType": "organisation", "description": "The goal of PRocess-based climate sIMulation: AdVances in high-resolution modelling and European climate Risk Assessment (PRIMAVERA) is to deliver novel, advanced and well-evaluated high-resolution global climate models (GCMs), capable of simulating and predicting regional climate with unprecedented fidelity, out to 2050. This capability will deliver innovative climate science and a new generation of advanced Earth System Models. Sector-specific end-users in policy and business will be identified and engaged individually, with iterative feedback, to ensure that new climate information is tailored, actionable and strengthening societal risk management decisions.\r\nThese goals will be achieved through the development of coupled GCMs from seven groups across Europe, with sufficient resolution to reproduce realistic weather and climate features (~25km mesh size), in addition to enhanced process parameterisation. Thorough assessment will use innovative process-based metrics and the latest observational and reanalysis datasets. Targeted experimental design will reduce inter-model spread and produce robust projections, forming the European contribution to the CMIP6 High-Resolution Model Intercomparison Project, led by PRIMAVERA. \r\nIt is the first time that high-resolution coupled GCMs will be used under a single experimental protocol. Coordination, and the underlying process-understanding, will significantly increase the robustness of our findings. Our new capabilities will be used to improve understanding of the drivers of variability and change in European climate, including extremes, since such regional changes continue to be characterised by high uncertainty. \r\nWe will also explore the frontiers of climate modelling and of high performance computing to produce simulations with a reduced reliance on physical parameterisations. These will explicitly resolve key processes such as ocean eddies, and will include new stochastic parameterisations to represent sub-grid scale processes. These “frontiers” simulations will further our understanding of the robustness of climate projections.", "deliveryPoint": "", "administrativeArea": "", "city": "", "country": "", "postalCode": "", "electronicEmailAddress": "", "phone": "", "onlineResource": "https://www.primavera-h2020.eu/", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=2618" }, "relatedTo": { "ob_id": 27421, "uuid": "18ea280ca1364c539468677926491e15", "short_code": "proj" } }, { "ob_id": 114964, "priority": 1, "role": "point_of_contact", "party": { "ob_id": 1483, "firstName": "", "lastName": "Centre for Environmental Data Analysis (CEDA)", "partyType": "organisation", "description": "Centre for Environmental Data Analysis (CEDA)", "deliveryPoint": "Rutherford Appleton Laboratory", "administrativeArea": "Harwell", "city": "Oxon", "country": "United Kingdom", "postalCode": "OX11 0QX", "electronicEmailAddress": "support@ceda.ac.uk", "phone": "01235446432", "onlineResource": "http://www.ceda.ac.uk/", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=1483" }, "relatedTo": { "ob_id": 20097, "uuid": "468abcf18372425791a31d15a41348d9", "short_code": "ob" } }, { "ob_id": 114965, "priority": 1, "role": "author", "party": { "ob_id": 1621, "firstName": "Colin P.", "lastName": "Morice", "partyType": "individual", "description": "", "deliveryPoint": "HIDDEN", "administrativeArea": "HIDDEN", "city": "HIDDEN", "country": "HIDDEN", "postalCode": "HIDDEN", "electronicEmailAddress": "HIDDEN", "phone": "HIDDEN", "onlineResource": "", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=1621" }, "relatedTo": { "ob_id": 20097, "uuid": "468abcf18372425791a31d15a41348d9", "short_code": "ob" } }, { "ob_id": 114966, "priority": 6, "role": "author", "party": { "ob_id": 2604, "firstName": "Joel R.", "lastName": "Mitchelson", "partyType": "individual", "description": "", "deliveryPoint": "HIDDEN", "administrativeArea": "HIDDEN", "city": "HIDDEN", "country": "HIDDEN", "postalCode": "HIDDEN", "electronicEmailAddress": "HIDDEN", "phone": "HIDDEN", "onlineResource": "", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=2604" }, "relatedTo": { "ob_id": 20097, "uuid": "468abcf18372425791a31d15a41348d9", "short_code": "ob" } }, { "ob_id": 114967, "priority": 2, "role": "author", "party": { "ob_id": 2603, "firstName": "Francesco", "lastName": "Capponi", "partyType": "individual", "description": "", "deliveryPoint": "HIDDEN", "administrativeArea": "HIDDEN", "city": "HIDDEN", "country": "HIDDEN", "postalCode": "HIDDEN", "electronicEmailAddress": "HIDDEN", "phone": "HIDDEN", "onlineResource": "", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=2603" }, "relatedTo": { "ob_id": 20097, "uuid": "468abcf18372425791a31d15a41348d9", "short_code": "ob" } }, { "ob_id": 114968, "priority": 3, "role": "author", "party": { "ob_id": 2602, "firstName": "John J.", "lastName": "Kennedy", "partyType": "individual", "description": "", "deliveryPoint": "HIDDEN", "administrativeArea": "HIDDEN", "city": "HIDDEN", "country": "HIDDEN", "postalCode": "HIDDEN", "electronicEmailAddress": "HIDDEN", "phone": "HIDDEN", "onlineResource": "", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=2602" }, "relatedTo": { "ob_id": 20097, "uuid": "468abcf18372425791a31d15a41348d9", "short_code": "ob" } }, { "ob_id": 114969, "priority": 5, "role": "author", "party": { "ob_id": 2619, "firstName": "Finn", "lastName": "Lindgren", "partyType": "individual", "description": "", "deliveryPoint": "HIDDEN", "administrativeArea": "HIDDEN", "city": "HIDDEN", "country": "HIDDEN", "postalCode": "HIDDEN", "electronicEmailAddress": "HIDDEN", "phone": "HIDDEN", "onlineResource": "", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=2619" }, "relatedTo": { "ob_id": 20097, "uuid": "468abcf18372425791a31d15a41348d9", "short_code": "ob" } }, { "ob_id": 114970, "priority": 8, "role": "author", "party": { "ob_id": 2620, "firstName": "Jonathan P.", "lastName": "Winn", "partyType": "individual", "description": "", "deliveryPoint": "HIDDEN", "administrativeArea": "HIDDEN", "city": "HIDDEN", "country": "HIDDEN", "postalCode": "HIDDEN", "electronicEmailAddress": "HIDDEN", "phone": "HIDDEN", "onlineResource": "", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=2620" }, "relatedTo": { "ob_id": 20097, "uuid": "468abcf18372425791a31d15a41348d9", "short_code": "ob" } }, { "ob_id": 114971, "priority": 4, "role": "author", "party": { "ob_id": 2621, "firstName": "Rachel E.", "lastName": "Killick", "partyType": "individual", "description": "", "deliveryPoint": "HIDDEN", "administrativeArea": "HIDDEN", "city": "HIDDEN", "country": "HIDDEN", "postalCode": "HIDDEN", "electronicEmailAddress": "HIDDEN", "phone": "HIDDEN", "onlineResource": "", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=2621" }, "relatedTo": { "ob_id": 20097, "uuid": "468abcf18372425791a31d15a41348d9", "short_code": "ob" } }, { "ob_id": 114972, "priority": 7, "role": "author", "party": { "ob_id": 1115, "firstName": "Nick A.", "lastName": "Rayner", "partyType": "individual", "description": "", "deliveryPoint": "HIDDEN", "administrativeArea": "HIDDEN", "city": "HIDDEN", "country": "HIDDEN", "postalCode": "HIDDEN", "electronicEmailAddress": "HIDDEN", "phone": "HIDDEN", "onlineResource": "", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=1115" }, "relatedTo": { "ob_id": 20097, "uuid": "468abcf18372425791a31d15a41348d9", "short_code": "ob" } }, { "ob_id": 114973, "priority": 1, "role": "author", "party": { "ob_id": 1621, "firstName": "Colin P.", "lastName": "Morice", "partyType": "individual", "description": "", "deliveryPoint": "HIDDEN", "administrativeArea": "HIDDEN", "city": "HIDDEN", "country": "HIDDEN", "postalCode": "HIDDEN", "electronicEmailAddress": "HIDDEN", "phone": "HIDDEN", "onlineResource": "", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=1621" }, "relatedTo": { "ob_id": 27505, "uuid": "802182ae6b184c7397f5a29ae75e4932", "short_code": "ob" } }, { "ob_id": 114974, "priority": 1, "role": "ceda_officer", "party": { "ob_id": 524, "firstName": "Alison", "lastName": "Waterfall", "partyType": "individual", "description": "", "deliveryPoint": "HIDDEN", "administrativeArea": "HIDDEN", "city": "HIDDEN", "country": "HIDDEN", "postalCode": "HIDDEN", "electronicEmailAddress": "HIDDEN", "phone": "HIDDEN", "onlineResource": "", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=524" }, "relatedTo": { "ob_id": 27505, "uuid": "802182ae6b184c7397f5a29ae75e4932", "short_code": "ob" } }, { "ob_id": 114975, "priority": 1, "role": "metadata_owner", "party": { "ob_id": 1483, "firstName": "", "lastName": "Centre for Environmental Data Analysis (CEDA)", "partyType": "organisation", "description": "Centre for Environmental Data Analysis (CEDA)", "deliveryPoint": "Rutherford Appleton Laboratory", "administrativeArea": "Harwell", "city": "Oxon", "country": "United Kingdom", "postalCode": "OX11 0QX", "electronicEmailAddress": "support@ceda.ac.uk", "phone": "01235446432", "onlineResource": "http://www.ceda.ac.uk/", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=1483" }, "relatedTo": { "ob_id": 27505, "uuid": "802182ae6b184c7397f5a29ae75e4932", "short_code": "ob" } }, { "ob_id": 114976, "priority": 1, "role": "distributor", "party": { "ob_id": 1483, "firstName": "", "lastName": "Centre for Environmental Data Analysis (CEDA)", "partyType": "organisation", "description": "Centre for Environmental Data Analysis (CEDA)", "deliveryPoint": "Rutherford Appleton Laboratory", "administrativeArea": "Harwell", "city": "Oxon", "country": "United Kingdom", "postalCode": "OX11 0QX", "electronicEmailAddress": "support@ceda.ac.uk", "phone": "01235446432", "onlineResource": "http://www.ceda.ac.uk/", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=1483" }, "relatedTo": { "ob_id": 27505, "uuid": "802182ae6b184c7397f5a29ae75e4932", "short_code": "ob" } }, { "ob_id": 114977, "priority": 1, "role": "publisher", "party": { "ob_id": 1483, "firstName": "", "lastName": "Centre for Environmental Data Analysis (CEDA)", "partyType": "organisation", "description": "Centre for Environmental Data Analysis (CEDA)", "deliveryPoint": "Rutherford Appleton Laboratory", "administrativeArea": "Harwell", "city": "Oxon", "country": "United Kingdom", "postalCode": "OX11 0QX", "electronicEmailAddress": "support@ceda.ac.uk", "phone": "01235446432", "onlineResource": "http://www.ceda.ac.uk/", "responsiblepartyinfo_url": "https://api.catalogue.ceda.ac.uk/api/v3/rpis/?party_id=1483" }, "relatedTo": { "ob_id": 27505, "uuid": 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statistical software packages and climate models.\r\n\r\nThe aim of the Climatic Research Unit is to improve scientific understanding in three areas:\r\n\r\npast climate history and its impact on humanity;\r\nthe course and causes of climate change during the present century;\r\nprospects for the future.\r\nThe Unit undertakes both pure and applied research, sponsored almost entirely by external contracts and grants from academic funding councils, government departments, intergovernmental agencies, charitable foundations, non-governmental organisations, commerce and industry.\r\n\r\nAlongside its research activities, the Unit has an educational role through its contribution to formal teaching with the School of Environmental Sciences (most notably, the MSc in Climate Change) and various forms of in-service training including postgraduate education. 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