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Статті в журналах з теми "Climate information"

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Автор: Grafiati

Опубліковано: 14 березня 2023

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1

Horton, Radley, Cynthia Rosenzweig, Vivien Gornitz, Daniel Bader, and Megan O’Grady. "CLIMATE RISK INFORMATION." Annals of the New York Academy of Sciences 1196, no. 1 (May 2010): 147–228. http://dx.doi.org/10.1111/j.1749-6632.2010.05323.x.

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2

P. Mott, T. W. Sammis, and G. M. Southward. "Climate Data Estimation Using Climate Information From Surrounding Climate Stations." Applied Engineering in Agriculture 10, no. 1 (1994): 41–44. http://dx.doi.org/10.13031/2013.25825.

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3

Sonka, Steven T., James W. Mjelde, Peter J. Lamb, Steven E. Hollinger, and Bruce L. Dixon. "Valuing Climate Forecast Information." Journal of Climate and Applied Meteorology 26, no. 9 (September 1987): 1080–91. http://dx.doi.org/10.1175/1520-0450(1987)026<1080:vcfi>2.0.co;2.

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4

Pérez-Zanón, Núria, Louis-Philippe Caron, Silvia Terzago, Bert Van Schaeybroeck, Llorenç Lledó, Nicolau Manubens, Emmanuel Roulin, et al. "Climate Services Toolbox (CSTools) v4.0: from climate forecasts to climate forecast information." Geoscientific Model Development 15, no. 15 (August 4, 2022): 6115–42. http://dx.doi.org/10.5194/gmd-15-6115-2022.

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Анотація:

Abstract. Despite the wealth of existing climate forecast data, only a small part is effectively exploited for sectoral applications. A major cause of this is the lack of integrated tools that allow the translation of data into useful and skillful climate information. This barrier is addressed through the development of an R package. Climate Services Toolbox (CSTools) is an easy-to-use toolbox designed and built to assess and improve the quality of climate forecasts for seasonal to multi-annual scales. The package contains process-based, state-of-the-art methods for forecast calibration, bias correction, statistical and stochastic downscaling, optimal forecast combination, and multivariate verification, as well as basic and advanced tools to obtain tailored products. Due to the modular design of the toolbox in individual functions, the users can develop their own post-processing chain of functions, as shown in the use cases presented in this paper, including the analysis of an extreme wind speed event, the generation of seasonal forecasts of snow depth based on the SNOWPACK model, and the post-processing of temperature and precipitation data to be used as input in impact models.

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5

Lu, X. "Provision of climate information for adaptation to climate change." Climate Research 47, no. 1 (March 31, 2011): 83–94. http://dx.doi.org/10.3354/cr00950.

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6

Neelima, B. N. "Climate Change Information and Media." International Journal of E-Politics 9, no. 1 (January 2018): 1–14. http://dx.doi.org/10.4018/ijep.2018010101.

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Climate change is a scientific, health, political, economic, national security, environmental, moral and religious issue, among many others. The article presents the findings of a study which investigates what messages and messengers best engage young people with climate science and its solutions. The opinions and media habits of young adults, aged 18-25 currently residing and studying in two metropolises of India, Bengaluru (Bangalore) and Chennai (Madras) vis-à-vis climate change have been elicited and interpreted. A survey of 500 randomly selected college and university students studying and residing in these two metropolises have revealed a heightened concern for the global environment and climate change issues among youth. The extent of information the respondents had on climate change issues was considerable. The respondents relied more on social media, especially blogs and networking groups for information on climate change, than the traditional mass media. Gender, economic status, course of study, and parental education were some of the important variables strongly associated with knowledge about climate change issues.

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7

Talakh, M. V., S. V. Holub, and I. B. Turkin. "INFORMATION TECHNOLOGY OF CLIMATE MONITORING." Radio Electronics, Computer Science, Control, no. 2 (July 8, 2021): 154–63. http://dx.doi.org/10.15588/1607-3274-2021-2-16.

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Context. Information monitoring technology is used to reduce information uncertainty about the regularity of air temperature changes during managing work in hard-to-reach places [1]. The task was to create a method for modelling one of the climatic indicators, air temperature, in the given territories in the information monitoring technology structure. Climate models are the main tools for studying the response of the ecological system to external and internal influences. The problem of reducing information uncertainty in making managerial decisions is eliminated by predicting the consequences of using planned control actions using climate modelling methods in information monitoring technology. The information technology of climate monitoring combines satellite observation methods and observations on climate stations, taking into account the spatial and temporal characteristics, to form an array of input data. It was made with the methods for synthesizing models of monitoring information systems [1] and methods of forming multilevel model structures of the monitoring information systems [1] for converting observation results into knowledge, and with the rules for interpreting obtained results for calculating the temperature value in the uncontrolled territories. Objective of the work is to solve the problem of identifying the functional dependence of the air temperature in a given uncontrolled territory on the results of observations of the climate characteristics by meteorological stations in the information technology of climate monitoring structure. Method. The methodology for creating information technologies for monitoring has been improved to expand its capabilities to perform new tasks of forecasting temperature using data from thermal imaging satellites and weather stations by using a new method of climate modelling. A systematic approach to the process of climate modelling and the group method of data handling were used for solving problems of functional dependence identification, methods of mathematical statistics for evaluating models. Results. The deviation of the calculated temperature values with the synthesized monitoring information systems models from the actual values obtained from the results of observations by artificial earth satellites does not, on average, exceed 2.5°С. Temperature traces obtained from satellite images and weather stations at similar points show similar dynamics. Conclusions. The problem of the functional dependence identification of air temperature in uncontrolled territories on the results of observations at meteorological stations is solved. The obtained results were used in the process of creating a new method of climate modelling within information technology of climate monitoring. Experimental confirmation of the hypothesis about the possibility of using satellite images in regional models of temperature prediction has been obtained. The effectiveness of the application of the methodology for the creation of monitoring information technologies during the implementation of the tasks of reducing uncertainty for management decisions during works in non-controlled territories has been proven.

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8

Leung, Lai-Yung, and Gerald R. North. "Information Theory and Climate Prediction." Journal of Climate 3, no. 1 (January 1990): 5–14. http://dx.doi.org/10.1175/1520-0442(1990)003<0005:itacp>2.0.co;2.

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9

Ho, Shirley S., Benjamin H. Detenber, Sonny Rosenthal, and Edmund W. J. Lee. "Seeking Information About Climate Change." Science Communication 36, no. 3 (February 7, 2014): 270–95. http://dx.doi.org/10.1177/1075547013520238.

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10

Hong, Fuhai, and Xiaojian Zhao. "Information Manipulation and Climate Agreements." American Journal of Agricultural Economics 96, no. 3 (February 24, 2014): 851–61. http://dx.doi.org/10.1093/ajae/aau001.

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11

Moore, Margery A. "Making climate change information accessible." Environmental Quality Management 21, no. 2 (December 2011): 51–56. http://dx.doi.org/10.1002/tqem.20317.

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12

Ferreira, Caio, Felix Suntheim, David Rozumek, and Ranjit Singh. "Strengthening the Climate Information Architecture." Staff Climate Notes 2021, no. 003 (September 2021): 1. http://dx.doi.org/10.5089/9781513590790.066.

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13

McSweeney, Carol F., Richard G. Jones, and Ben B. B. Booth. "Selecting Ensemble Members to Provide Regional Climate Change Information." Journal of Climate 25, no. 20 (May 18, 2012): 7100–7121. http://dx.doi.org/10.1175/jcli-d-11-00526.1.

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Abstract Climate model ensembles, such as the Coupled Model Intercomparison Project, phase 3 (CMIP3), are used to characterize broadscale ranges of projected regional climate change and their impacts. The 17-member Hadley Centre perturbed physics GCM ensemble [Quantifying Uncertainty in Model Predictions (“QUMP”)] extends this capability by including data enabling dynamical downscaling of these ranges, and similar data are now being made available from the CMIP phase 5 (CMIP5) GCMs. These raise new opportunities to provide and apply high-resolution regional climate projections. This study highlights the importance of employing a well-considered sampling strategy from available ensembles to provide scientifically credible information on regional climate change while minimizing the computational complexity of ensemble downscaling. A subset of the QUMP ensemble is selected for a downscaling program in Vietnam using the Providing Regional Climates for Impacts Studies (PRECIS) regional climate modeling system. Multiannual mean fields from each GCM are assessed with a focus on the Asian summer monsoon, given its importance to proposed applications of the projections. First, the study examines whether any model should be eliminated because significant deficiencies in its simulation may render its future climate projections unrealistic. No evidence is found to eliminate any of the 17 GCMs on these grounds. Second, the range of their future projections is explored and five models that best represent the full range of future climates are identified. The subset characterizes the range of both global and regional responses, and patterns of rainfall response, the wettest and driest projections for Vietnam, and different projected Asian summer monsoon changes. How these ranges of responses compare with those in the CMIP3 ensemble are also assessed, finding differences in both the signal and the spread of results in Southeast Asia.

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14

Masson, Valéry, Aude Lemonsu, Julia Hidalgo, and James Voogt. "Urban Climates and Climate Change." Annual Review of Environment and Resources 45, no. 1 (October 17, 2020): 411–44. http://dx.doi.org/10.1146/annurev-environ-012320-083623.

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Cities are particularly vulnerable to extreme weather episodes, which are expected to increase with climate change. Cities also influence their own local climate, for example, through the relative warming known as the urban heat island (UHI) effect. This review discusses urban climate features (even in complex terrain) and processes. We then present state-of-the-art methodologies on the generalization of a common urban neighborhood classification for UHI studies, as well as recent developments in observation systems and crowdsourcing approaches. We discuss new modeling paradigms pertinent to climate impact studies, with a focus on building energetics and urban vegetation. In combination with regional climate modeling, new methods benefit the variety of climate scenarios and models to provide pertinent information at urban scale. Finally, this article presents how recent research in urban climatology contributes to the global agenda on cities and climate change.

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15

Huebener, Heike, Peter Hoffmann, Klaus Keuler, Susanne Pfeifer, Hans Ramthun, Arne Spekat, Christian Steger, and Kirsten Warrach-Sagi. "Deriving user-informed climate information from climate model ensemble results." Advances in Science and Research 14 (July 27, 2017): 261–69. http://dx.doi.org/10.5194/asr-14-261-2017.

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Abstract. Communication between providers and users of climate model simulation results still needs to be improved. In the German regional climate modeling project ReKliEs-De a midterm user workshop was conducted to allow the intended users of the project results to assess the preliminary results and to streamline the final project results to their needs. The user feedback highlighted, in particular, the still considerable gap between climate research output and user-tailored input for climate impact research. Two major requests from the user community addressed the selection of sub-ensembles and some condensed, easy to understand information on the strengths and weaknesses of the climate models involved in the project.

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16

Martínez Güingla, R. "Building sustainable regional climate information systems." Climate Research 47, no. 1 (March 31, 2011): 41–45. http://dx.doi.org/10.3354/cr00959.

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17

MICHIHIRO, Yuri, Yasushi SUZUKI, and Yoshinobu SATO. "Development of Climate Change Information Database." Journal of Japan Society of Civil Engineers, Ser. B2 (Coastal Engineering) 67, no. 2 (2011): I_1211—I_1215. http://dx.doi.org/10.2208/kaigan.67.i_1211.

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18

Konrad, Kai A., and Marcel Thum. "Climate Policy Negotiations with Incomplete Information." Economica 81, no. 322 (January 13, 2014): 244–56. http://dx.doi.org/10.1111/ecca.12065.

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19

Purcell, David. "Climate information helps homeowners make choices." Nature 448, no. 7153 (August 2007): 533. http://dx.doi.org/10.1038/448533e.

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20

KOGA, Takashi. "Fast climate (Fudo) and slow information." Journal of Information Processing and Management 47, no. 11 (2005): 761–62. http://dx.doi.org/10.1241/johokanri.47.761.

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21

Finnessey, T., M. Hayes, J. Lukas, and M. Svoboda. "Using climate information for drought planning." Climate Research 70, no. 2 (October 27, 2016): 251–63. http://dx.doi.org/10.3354/cr01406.

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22

Shang, Z., Q. Gao, and D. Yang. "The Climate Information System of China." Climate Research 18 (2001): 229–47. http://dx.doi.org/10.3354/cr018229.

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23

Lemos, Maria Carmen, Christine J. Kirchhoff, and Vijay Ramprasad. "Narrowing the climate information usability gap." Nature Climate Change 2, no. 11 (October 26, 2012): 789–94. http://dx.doi.org/10.1038/nclimate1614.

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24

Scott, D., and C. Lemieux. "Weather and Climate Information for Tourism." Procedia Environmental Sciences 1 (2010): 146–83. http://dx.doi.org/10.1016/j.proenv.2010.09.011.

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25

Aldrian, E., C. Oludhe, B. J. Garanganga, J. Pahalad, M. Rojas Corradi, M. S. Boulahya, L. Dubus, J. Ebinger, and M. Fischer. "Regional Climate Information for Risk Management." Procedia Environmental Sciences 1 (2010): 369–83. http://dx.doi.org/10.1016/j.proenv.2010.09.024.

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26

Clerc, Alain. "Information Unit on Climate Change (IUCC)." Structural Engineering International 2, no. 2 (May 1992): 152. http://dx.doi.org/10.2749/101686692780616021.

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27

Selvaraju, R., T. N. Balasubramanian, A. K. S. Huda, and D. A. George. "Farm Decision Making Using Climate Information." Outlook on Agriculture 34, no. 1 (March 2005): 23–31. http://dx.doi.org/10.5367/0000000053295097.

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Анотація:

The appropriate use of seasonal climate information in agricultural management requires systematic analysis of decision makers' (farmers') characteristics, needs and perceptions. An attempt has been made to characterize the decision-making approach and factors affecting them amongst 240 selected crop farmers in southern India (Coimbatore region). Farmers' perceptions about the importance of farm decisions in relation to seasonal climate information and their knowledge level were also analysed. About 39% of the farmers made decisions ‘alone’, indicating monopolization of decisions by one decision maker. However, other decision-making approaches, including the participation of family members (31.7%) and other farmers (14.6%), are still very common. Factor analysis indicated that those farmers with higher education and greater occupational status tended to decide themselves. More than 70% of the farmers perceived that the strategic decisions made before the start of the rainy season were more important than in-season tactical decisions. Decisions on sowing season and selection of crops and varieties are most important and will have considerable weight with associated seasonal climate information. However, the knowledge levels of farmers on those decisions were ‘poor’. The factor analysis grouped all the farmers (n = 240) into two dimensions representing ‘poor’ or ‘moderate’ levels of knowledge on decision making. Knowledge level was directly related to innovativeness (r = 0.373), which could be improved through enhancing change-agency contact and extension participation. Therefore, it is important to design ‘climate educational programmes’ based on the decision-making approaches, farmers' requirements (relevance of decisions) and their knowledge level on decision making using climate information.

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28

Kadow, Christopher, David Matthew Hall, and Uwe Ulbrich. "Artificial intelligence reconstructs missing climate information." Nature Geoscience 13, no. 6 (June 2020): 408–13. http://dx.doi.org/10.1038/s41561-020-0582-5.

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29

Guo, Yuanyuan, and Ke Jin. "How Empowerment and Innovation Climates Influence Employees' Innovative IS Use." International Journal of Enterprise Information Systems 15, no. 4 (October 2019): 26–42. http://dx.doi.org/10.4018/ijeis.2019100102.

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The purpose of this study is to examine the influence of empowerment and innovation climates on employees' innovative use of information systems (IS) and the mechanisms through which the climates affect employees' innovative IS use. Drawing on the thriving theory, this study proposes a hierarchical research model that links team-level climates, individual-level thriving, and employees' innovative IS use in an integral model. In total, 174 copies of questionnaires from 38 teams were collected from ERP users of nine firms in China. The empirical results suggest that team innovation climate and team empowerment climate are positively related to innovative IS use. Thriving plays a fully mediating role between team empowerment climate and innovative IS use and a partially mediating role between the team innovation climate and innovative IS use. The findings of this study could provide guidelines for managers on how to promote IS users' innovative use from the perspectives of team climates.

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30

Gaur, Abhishek, and Michael Lacasse. "Climate Data to Support the Adaptation of Buildings to Climate Change in Canada." Data 7, no. 4 (April 6, 2022): 42. http://dx.doi.org/10.3390/data7040042.

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Climate change will continue to bring about unprecedented climate extremes in the future, and buildings and infrastructure will be exposed to such conditions. To ensure that new and existing buildings deliver satisfactory performance over their design lives, their performance under current and future projected climates needs to be assessed by undertaking building simulations. This study prepares climate data needed for building simulations for 564 locations by bias-correcting the Canadian Regional Climate Model version 4 (CanRCM4) large ensemble (LE) simulations with reference to observations. Technical validation results show that bias-correction effectively reduces the bias associated with CanRCM4-LE simulations in terms of their marginal distributions and the inter-relationship between climate variables. To ensure that the range of projected climate change impacts are encompassed within these data sets, and to furthermore provide building moisture and energy reference years, the reference year files were prepared from bias-corrected CanRCM4-LE simulations and are comprised of a typical meteorological year for building energy applications, a typical and extreme moisture reference year, a typical downscaled year, an extreme warm year, and an extreme cold year.

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31

Nkuba, Michael, Raban Chanda, Gagoitseope Mmopelwa, Edward Kato, Margaret Najjingo Mangheni, and David Lesolle. "The effect of climate information in pastoralists’ adaptation to climate change." International Journal of Climate Change Strategies and Management 11, no. 4 (August 19, 2019): 442–64. http://dx.doi.org/10.1108/ijccsm-10-2018-0073.

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Анотація:

Purpose This paper aims to investigate the effect of using indigenous forecasts (IFs) and scientific forecasts (SFs) on pastoralists’ adaptation methods in Rwenzori region, Western Uganda. Design/methodology/approach Data were collected using a household survey from 270 pastoralists and focus group discussions. The multivariate probit model was used in the analysis. Findings The results revealed that pastoralists using of IF only more likely to be non-farm enterprises and livestock sales as adaptation strategies. Pastoralists using both SF and IF were more likely to practise livestock migration. Research limitations/implications Other factors found to be important included land ownership, land tenure, gender, education level, non-farm and productive assets, climate-related risks and agricultural extension access. Practical implications Increasing the number of weather stations in pastoral areas would increase the predictive accuracy of scientific climate information, which results in better adaptive capacity of pastoralists. Active participation of pastoral households in national meteorological dissemination processes should be explored. Social implications A two-prong approach that supports both mobile and sedentary pastoralism should be adopted in rangeland development policies. Originality/value This study has shown the relevance of IFs in climate change adaptation methods of pastoralists. It has also shown that IFs compliment SFs in climate change adaptation in pastoralism.

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32

Baker, Zeke, Julia Ekstrom, and Louise Bedsworth. "Climate information? Embedding climate futures within temporalities of California water management." Environmental Sociology 4, no. 4 (March 27, 2018): 419–33. http://dx.doi.org/10.1080/23251042.2018.1455123.

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33

Kessler, Stacey R., Shani Pindek, Gary Kleinman, Stephanie A. Andel, and Paul E. Spector. "Information security climate and the assessment of information security risk among healthcare employees." Health Informatics Journal 26, no. 1 (March 14, 2019): 461–73. http://dx.doi.org/10.1177/1460458219832048.

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Анотація:

Since 2009, over 176 million patients in the United States have been adversely impacted by data breaches affecting Health Insurance Portability and Accountability Act–covered institutions. While the popular press often attributes data breaches to external hackers, most breaches are the result of employee carelessness and/or failure to comply with information security policies and procedures. To change employee behavior, we borrow from the organizational climate literature and introduce the Information Security Climate Index, developed and validated using two pilot samples. In this study, four categories of healthcare professionals (certified nursing assistants, dentists, pharmacists, and physician assistants) were surveyed. Likert-type items were used to assess the Information Security Climate Index, information security motivation, and information security behaviors. Study results indicated that the Information Security Climate Index was related to better employee information security motivation and information security behaviors. In addition, there were observed differences between occupational groups with pharmacists reporting a more favorable climate and behaviors than physician assistants.

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34

Tykhomyrova, Evgeniya. "Information and communication support of climate diplomacy." Mediaforum : Analytics, Forecasts, Information Management, no. 6 (December 17, 2018): 11–24. http://dx.doi.org/10.31861/mediaforum.2018.6.11-24.

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The article poses the problem of popularizing climate change as a factor of climate diplomacy. The subject of the study was the means and measures for implementing climate communication in the system of climate diplomacy. It is focused on event communications, which provide the best flow of events of various formats. To strengthen climate diplomacy, it is necessary to ensure a better flow of information and increase the effectiveness of disseminating information about climate change through formalized local meetings, focal points for climate change in the embassies of individual countries; studying needs for training and meeting them because of the diversity of activities of various information formats; integration of climate policy into broader dialogues and meetings, for example, annual meetings or regional conferences of delegations; preparation of materials on climate change available for different target audiences.

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35

Haryoko, Urip. "IDENTIFIKASI KEKUATAN DAN KELEMAHAN KOMPONEN SISTEM INFORMASI IKLIM(STRENGTH AND WEAKNESS IDENTIFICATION OF CLIMATE INFORMATION COMPONENT)." Agromet 22, no. 2 (December 14, 2008): 132. http://dx.doi.org/10.29244/j.agromet.22.2.132-143.

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Анотація:

<p>Based on the survey of climate information application in many sectors showed that climate informations are inaccurate, lately received, abstrused and not meet to the user activities. There is a big gaps between climate information producer and user, it needs a bridging to handle a problem in interpreting information. These conditions caused to not optimally climate risk anticipation, so that there were still a lot of failures in some sectors, i.e. crops failure, urban floods, food and water shortage, health crisis, forest fire, etc. There are many activities have been done to increase skill to intepret and react to climate information. Providing climate information is one of the methods to minimize the climate risk. By understanding the climate information, climate risk could be managed optimally and it can minimize negative impact of climate extreme and get benefit from good climate conditions. Boer, 2009, said that there are five primary components as a key to climate information application in manage a risk, 1) climate data observation and data analysis, 2) climate forecast/prediction system, 3) climate information production and evaluation system, 4) communication and dissemination system, and 5) climate information system. Valuation of strength and weakness of five components above relatively depends on which angel be used. It needs an objective indicator to evaluate those components. In this paper, strength and weakness of climate information components will be identified. Data was collected from Meteorological, Climatological and Geophysical Agency’s stations and some institutions in Banten Province as climate information users by distributing questionaire. Furthermore, based on the components identification it could be created a strategy how to increase the capacity of climate information applications.</p>

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36

Obregón, A., H. Nitsche, M. Körber, A. Kreis, P. Bissolli, K. Friedrich, and S. Rösner. "Satellite-based climate information within the WMO RA VI Regional Climate Centre on Climate Monitoring." Advances in Science and Research 11, no. 1 (May 13, 2014): 25–33. http://dx.doi.org/10.5194/asr-11-25-2014.

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Abstract. The World Meteorological Organization (WMO) established Regional Climate Centres (RCCs) around the world to create science-based climate information on a regional scale within the Global Framework for Climate Services (GFCS). The paper introduces the satellite component of the WMO Regional Climate Centre on Climate Monitoring (RCC-CM) for Europe and the Middle East. The RCC-CM product portfolio is based on essential climate variables (ECVs) as defined by the Global Climate Observing System (GCOS), spanning the atmospheric (radiation, clouds, water vapour) and terrestrial domains (snow cover, soil moisture). In the first part, the input data sets are briefly described, which are provided by the EUMETSAT (European Organisation for the Exploitation of Meteorological Satellites) Satellite Application Facilities (SAF), in particular CM SAF, and by the ESA (European Space Agency) Climate Change Initiative (CCI). In the second part, the derived RCC-CM products are presented, which are divided into two groups: (i) operational monitoring products (e.g. monthly means and anomalies) based on near-real-time environmental data records (EDRs) and (ii) climate information records (e.g. climatologies, time series, trend maps) based on long-term thematic climate data records (TCDRs) with adequate stability, accuracy and homogeneity. The products are provided as maps, statistical plots and gridded data, which are made available through the RCC-CM website (www.dwd.de/rcc-cm).

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37

Mrozewski, Tomasz. "Climate change data." Bulletin - Association of Canadian Map Libraries and Archives (ACMLA), no. 162 (July 26, 2019): 20–24. http://dx.doi.org/10.15353/acmla.n162.1528.

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38

Grainger, Sam, Suraje Dessai, Joseph Daron, Andrea Taylor, and Yim Ling Siu. "Using expert elicitation to strengthen future regional climate information for climate services." Climate Services 26 (April 2022): 100278. http://dx.doi.org/10.1016/j.cliser.2021.100278.

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39

de Klerk, Ivo, Kris van Koppen, and Martijn van Staveren. "Climate stress tests as a climate adaptation information tool in Dutch municipalities." Climate Risk Management 33 (2021): 100318. http://dx.doi.org/10.1016/j.crm.2021.100318.

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40

Hackenbruch, Julia, Tina Kunz-Plapp, Sebastian Müller, and Janus Schipper. "Tailoring Climate Parameters to Information Needs for Local Adaptation to Climate Change." Climate 5, no. 2 (March 25, 2017): 25. http://dx.doi.org/10.3390/cli5020025.

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41

Munang, R., M. Rivington, E. S. Takle, B. Mackey, I. Thiaw, and J. Liu. "Climate Information and Capacity Needs for Ecosystem Management under a Changing Climate." Procedia Environmental Sciences 1 (2010): 206–27. http://dx.doi.org/10.1016/j.proenv.2010.09.014.

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42

Partey, Samuel T., Angela D. Dakorah, Robert B. Zougmoré, Mathieu Ouédraogo, Mary Nyasimi, Gordon K. Nikoi, and Sophia Huyer. "Gender and climate risk management: evidence of climate information use in Ghana." Climatic Change 158, no. 1 (July 5, 2018): 61–75. http://dx.doi.org/10.1007/s10584-018-2239-6.

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43

Tyagi, Avinash C. "CLIMATE SERVICES USER FORUM IN SOUTH ASIA: CLIMATE INFORMATION FOR RESERVOIR OPERATION." Irrigation and Drainage 63, no. 3 (July 2014): 416–17. http://dx.doi.org/10.1002/ird.1863.

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44

Guido, Zack, Valerie Rountree, Christina Greene, Andrea Gerlak, and Adrian Trotman. "Connecting Climate Information Producers and Users: Boundary Organization, Knowledge Networks, and Information Brokers at Caribbean Climate Outlook Forums." Weather, Climate, and Society 8, no. 3 (June 30, 2016): 285–98. http://dx.doi.org/10.1175/wcas-d-15-0076.1.

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Abstract Boundary organizations, knowledge networks, and information brokers have been suggested as mechanisms that help integrate information into decision-making and enhance interactions between the producers and users of climate information. While these mechanisms have been discussed in many studies in disparate fields of research, there has been little empirical research describing how they relate and support each other within studies on climate services. In this paper, two Caribbean Regional Climate Outlook Forums (CariCOFs) convened in 2014 are studied. CariCOFs facilitate the production of regional seasonal climate information and the dissemination of it to a diverse climate and socioeconomic region. Network analysis, key informant interviews, and small group discussions were used to answer two questions: 1) what are the barriers to using seasonal climate forecasts (SCFs) by CariCOF participants and 2) what are the iterative processes of information exchange that address these barriers? The barriers to using SCF include difficulty in demonstrating the value of the forecast to potential users, difficulty in interpreting and explaining the forecast to others, and challenges associated with the scientific language used in the information. To address these constraints, the convener of the CariCOF acts as a boundary organization by enabling interactions between participants representing diverse sectoral and geographic settings. This develops a network that helps build shared scientific understanding and knowledge about how different sectors experience climate risk. These interactions guide information brokering activities that help individuals communicate and translate climate information to facilitate understanding at local levels.

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45

Lehnhoff, Sebastian, Philipp Staudt, and Richard T. Watson. "Changing the Climate in Information Systems Research." Business & Information Systems Engineering 63, no. 3 (March 25, 2021): 219–22. http://dx.doi.org/10.1007/s12599-021-00695-y.

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46

Petrescu, F., M. Aldea, O. Luca, C. Iacoboaea, F. Gaman, and E. Parlow. "3D GEO-INFORMATION IN URBAN CLIMATE STUDIES." ISPRS - International Archives of the Photogrammetry, Remote Sensing and Spatial Information Sciences XLII-2/W2 (October 5, 2016): 51–55. http://dx.doi.org/10.5194/isprs-archives-xlii-2-w2-51-2016.

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3D geo-information is essential for urban climate studies. It is obvious that both natural environment and built-up environment play the fundamental role in defining the climatic conditions for urban areas, which affect the quality of human life and human comfort. The paper presents the main categories of 3D geo-information used in urban climate studies and roles in creating and operating the numerical models specially designed to simulate urban planning scenarios and improvement of the urban climate situation.

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47

Ghebreyesus, T. A., Z. Tadesse, D. Jima, E. Bekele, A. Mihretie, Y. Y. Yihdego, T. Dinku, S. J. Connor, and D. P. Rogers. "Using climate information in the health sector." Field Actions Science Reports 2, no. 1 (February 9, 2009): 63–67. http://dx.doi.org/10.5194/facts-2-63-2009.

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48

Sharifzadeh, Maryam, Gholam Zamani, Ezatollah Hossein Karami, Davar Khalili, and Arthur Tatnall. "The Iranian Wheat Growers’ Climate Information Use." International Journal of Actor-Network Theory and Technological Innovation 4, no. 4 (October 2012): 1–22. http://dx.doi.org/10.4018/jantti.2012100101.

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This research project employed an interdisciplinary attempt to study agricultural climate information use, linking sociology of translation (actor-network theory) and actor analysis premises in a qualitative research design. The research method used case study approaches and purposively selected a sample consisting of wheat growers of the Fars province of Iran, who are known as contact farmers. Concepts from actor-network theory (ANT) have been found to provide a useful perspective on the description and analysis of the cases. The data were analyzed using a combination of an actor-network theory (ANT) framework and the dynamic actor-network analysis (DANA) model. The findings revealed socio political (farmers’ awareness, motivation, and trust), and information processing factors (accuracy of information, access to information, and correspondence of information to farmers’ condition) as the key elements in facilitating climate information use in farming practices.

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Matzarakis, Andreas. "Weather- and climate-related information for tourism." Tourism and Hospitality Planning & Development 3, no. 2 (August 2006): 99–115. http://dx.doi.org/10.1080/14790530600938279.

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50

Gettelman, Andrew. "The “Information Divide” in the Climate Sciences." Bulletin of the American Meteorological Society 84, no. 12 (December 1, 2003): 1703–10. http://dx.doi.org/10.1175/bams-84-12-1703.

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The gap between the availability of information in developed and developing countries in climate and meteorology is described and detailed. The description is based on a recent survey of scientists around the world. The information divide results from the high costs of information and lack of resources in many countries and can be compounded by language difficulties and cultural differences. This has led to the breakdown in the flow of weather and forecast data, the flow of journals to developing countries, and the flow of the results of scientific work back to these same journals from developing countries. With the increasing electronic flow of information, many countries are also limited by costly and low-bandwidth access to the Internet. Several ideas for bridging the information divide are also presented, ranging from electronic distribution of journals, to increasing capacity to deal with information, to a commitment to include all users in new strategies for delivering information.

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