Relevant bibliographies by topics / Rainfall and temperature variability

Contents

  1. Journal articles
  2. Dissertations / Theses
  3. Books
  4. Book chapters
  5. Conference papers
  6. Reports

Academic literature on the topic 'Rainfall and temperature variability'

Author: Grafiati
Published: 4 June 2021
Last updated: 1 February 2022

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Journal articles on the topic "Rainfall and temperature variability"

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Birara, Hailu, R. P. Pandey, and S. K. Mishra. "Trend and variability analysis of rainfall and temperature in the Tana basin region, Ethiopia." Journal of Water and Climate Change 9, no. 3 (2018): 555–69. http://dx.doi.org/10.2166/wcc.2018.080.

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Abstract Global warming and climate variability are emerging as the foremost environmental problems in the 21st century, particularly in developing countries. Ethiopia is one of the countries located in the sub-Sahara region and climate variability has a significant impact on the economy of the country. The aim of this study is to characterize annual and seasonal rainfall and annual temperature variability, and to measure trends on both the spatial and the temporal scale for ten selected stations in the Tana basin region, Ethiopia. The Mann–Kendall test and Sen's slope estimator were used to a
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Ndlovu, Mendy, Alistair D. Clulow, Michael J. Savage, Luxon Nhamo, James Magidi, and Tafadzwanashe Mabhaudhi. "An Assessment of the Impacts of Climate Variability and Change in KwaZulu-Natal Province, South Africa." Atmosphere 12, no. 4 (2021): 427. http://dx.doi.org/10.3390/atmos12040427.

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Rainfall and air temperature variability pose the greatest risk to environmental change. Past trends in rainfall and air temperature facilitate projecting future climate changes for informed policy responses. We used a combination of the normalised difference vegetation index (NDVI) and observed data from 1968 to 2017 to assess changes in rainfall, moisture stress, and air temperature variability over time on bioclimatic regions of KwaZulu-Natal (KZN) Province, South Africa. Indicators used included consecutive dry days (CDDs), consecutive wet days (CWDs), very heavy rainfall days (R20), month
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Orke, Yoseph Arba, and Ming-Hsu Li. "Hydroclimatic Variability in the Bilate Watershed, Ethiopia." Climate 9, no. 6 (2021): 98. http://dx.doi.org/10.3390/cli9060098.

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It is important to understand variations in hydro-meteorological variables to provide crucial information for water resource management and agricultural operation. This study aims to provide comprehensive investigations of hydroclimatic variability in the Bilate watershed for the period 1986 to 2015. Coefficient of variation (CV) and the standardized anomaly index (SAI) were used to assess the variability of rainfall, temperature, and streamflow. Changing point detection, the Mann–Kendell test, and the Sen’s slope estimator were employed to detect shifting points and trends, respectively. Rain
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Ofgeha, Gemechu Yigezu, and Muluneh Woldetsadik Abshire. "Spatio-temporal Variability and Trends in Rainfall and Temperature in Anger watershed, Southwestern Ethiopia." Journal of Applied Geospatial Information 5, no. 1 (2021): 462–72. http://dx.doi.org/10.30871/jagi.v5i1.2825.

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Insights to broadly argued research gap on lack of climate studies at micro-scale considering unique features of an area, this paper intended to examine agro-ecological level spatio-temporal trends and variability in rainfall and temperature in Anger watershed of southwestern Ethiopia. The gridded data managed by the Ethiopia National Meteorological Services Agency (NMSA) for 1983-2018 were used. The Mann-Kendall test for trend analysis and different variability measures were used. Questionnaire and FGD data on community perceptions gathered from 214 households and elders were analysed descrip
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Belay, Abrham, Teferi Demissie, John W. Recha, et al. "Analysis of Climate Variability and Trends in Southern Ethiopia." Climate 9, no. 6 (2021): 96. http://dx.doi.org/10.3390/cli9060096.

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This study investigated the trends and variability of seasonal and annual rainfall and temperature data over southern Ethiopia using time series analysis for the period 1983–2016. Standard Anomaly Index (SAI), Coefficient of Variation (CV), Precipitations Concentration Index (PCI), and Standard Precipitation Index (SPI) were used to examine rainfall variability and develop drought indices over southern Ethiopia. Temporal changes of rainfall trends over the study period were detected using Mann Kendall (MK) trend test and Sen’s slope estimator. The results showed that the region experienced con
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Mmbando, Godfrey, and Michael Kleyer. "Mapping Precipitation, Temperature, and Evapotranspiration in the Mkomazi River Basin, Tanzania." Climate 6, no. 3 (2018): 63. http://dx.doi.org/10.3390/cli6030063.

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It is still a challenge to provide spatially explicit predictions of climate parameters in African regions of complex relief, where meteorological information is scarce. Here we predict rainfall, temperature, and reference evapotranspiration (ETo) for the southern Mkomazi River Basin in Northeastern Tanzania, East Africa, by means of regression-based, digital elevation models (DEM) at 90 m spatial-resolution and geographic information systems (GIS) techniques. We mapped rainfall for the period 1964–2010. The models accounted for orographic factors which strongly influenced the spatial variabil
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Nouaceur, Zeineddine, Ovidiu Murărescu, and George Murătoreanu. "Rainfall Variability and Trend Analysis of Multiannual Rainfall in Romanian Plain." Annals of Valahia University of Targoviste, Geographical Series 17, no. 2 (2017): 124–44. http://dx.doi.org/10.1515/avutgs-2017-0012.

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AbstractThe IPCC climate models predict, for the Central Europe, are for climate changes, being seen variability of temperature, with a growing trend of 1-2,5° C (with 1° C for alpine zone – Carpathians and 2-2,5° C for plains). Current observations in the Romanian plain are not consistent, with an existence of a multiannual variability of temperature and precipitations depending on cyclonal and anti-ciclonal activity. The research is based on calculation of reduced centered index, also the graphical chronological method in information processing (MGCTI) of „Bertin Matrix” type, to show curren
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Fay, P. A., J. M. Blair, M. D. Smith, J. B. Nippert, J. D. Carlisle, and A. K. Knapp. "Relative effects of precipitation variability and warming on grassland ecosystem function." Biogeosciences Discussions 8, no. 4 (2011): 6859–900. http://dx.doi.org/10.5194/bgd-8-6859-2011.

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Abstract. Precipitation and temperature drive many aspects of terrestrial ecosystem function. Climate change scenarios predict increasing precipitation variability and temperature, and long term experiments are required to evaluate the ecosystem consequences of interannual climate variation, increased growing season (intra-annual) rainfall variability, and warming. We present results from an experiment applying increased growing season rainfall variability and year round warming in native perennial grassland. During ten years of study, total growing season rainfall varied 2-fold, and we found
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Fay, P. A., J. M. Blair, M. D. Smith, J. B. Nippert, J. D. Carlisle, and A. K. Knapp. "Relative effects of precipitation variability and warming on tallgrass prairie ecosystem function." Biogeosciences 8, no. 10 (2011): 3053–68. http://dx.doi.org/10.5194/bg-8-3053-2011.

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Abstract. Precipitation and temperature drive many aspects of terrestrial ecosystem function. Climate change scenarios predict increasing precipitation variability and temperature, and long term experiments are required to evaluate the ecosystem consequences of interannual climate variation, increased growing season (intra-annual) rainfall variability, and warming. We present results from an experiment applying increased growing season rainfall variability and year round warming in native tallgrass prairie. During ten years of study, total growing season rainfall varied 2-fold, and we found ~5
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Mekanik, F., and M. A. Imteaz. "Variability of cool seasonal rainfall associated with Indo-Pacific climate modes: case study of Victoria, Australia." Journal of Water and Climate Change 9, no. 3 (2018): 584–97. http://dx.doi.org/10.2166/wcc.2018.146.

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Abstract This study focused on diagnosing the relative and independent role of El Niño Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) on austral cool seasonal rainfall by stratifying the cool seasonal rainfall into winter (June–August) and spring (September–November). Partial regression and classification analysis was used to investigate the effect of the climate modes on rainfall in the state of Victoria in southeast Australia. Partial regression analyses revealed that when the influence of IOD is removed from ENSO, sea surface temperature (SST) anomalies in the Pacific Ocean have
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Dissertations / Theses on the topic "Rainfall and temperature variability"

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Achuthavarier, Deepthi. "Role of the Indian and Pacific Oceans in the Indian summer monsoon variability." Fairfax, VA : George Mason University, 2009. http://hdl.handle.net/1920/4524.

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Thesis (Ph.D.)--George Mason University, 2009.<br>Vita: p. 179. Thesis director: V. Krishnamurthy. Submitted in partial fulfillment of the requirements for the degree of Doctor of Philosophy in Climate Dynamics. Title from PDF t.p. (viewed June 10, 2009). Includes bibliographical references (p. 171-178). Also issued in print.
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Fowler, Hayley Jane. "The impacts of climatic change and variability on water resources in Yorkshire." Thesis, University of Newcastle Upon Tyne, 2000. http://hdl.handle.net/10443/432.

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Observational evidence and future climate change scenarios suggest an amplification of climatic contrasts across the UK. This is seen most prominently in the marked increase in notable flood events and drought episodes and may profoundly affect water resource systems in vulnerable areas, as exemplified by the 1995 Yorkshire drought. The 1995-96 drought resulted in severe stress to the Yorkshire water supply, necessitating the emergency measure of tanking in water from outside the region, and was caused by an unusual pattern of weather and precipitation. This research is an investigation into b
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Washington, Richard. "Interannual and interdecadal variability of African rainfall." Thesis, University of Oxford, 1999. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.396138.

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Nsubuga, F. W. N. (Francis Wasswa Nkugwa). "Climate variability and its implication for water resources and livelihoods in Uganda." Thesis, University of Pretoria, 2013. http://hdl.handle.net/2263/40256.

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This thesis examines the climatic trends of rainfall and temperature in Uganda using historical data. And because climate is an important aspect in water resources management and livelihoods formation, an attempt to explain how the interaction impacts on the two is made in the context of climate variability and change. The assumption is that climate change/variability has had an effect on water resources management and the way individual, households and society at large form livelihoods in Uganda. The rationale for the investigation is the number of climate and livelihood related studies that
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Karnauskas, Kristopher B. "Interannual variability of sea surface temperature in the eastern tropical Pacific Ocean and Central American rainfall." College Park, Md.: University of Maryland, 2007. http://hdl.handle.net/1903/7706.

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Thesis (Ph. D.) -- University of Maryland, College Park, 2007.<br>Thesis research directed by: Dept. of Atmospheric and Oceanic Sciences. Title from t.p. of PDF. Includes bibliographical references. Published by UMI Dissertation Services, Ann Arbor, Mich. Also available in paper.
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Preston, Anthony. "Southern African rainfall variability and Indian Ocean sea surface temperatures : an observational and modelling study." Thesis, University of Oxford, 2004. http://ethos.bl.uk/OrderDetails.do?uin=uk.bl.ethos.411052.

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Rocha, Thiago. "Variabilidade climática na bacia hidrográfica do médio Caiapó, oeste goiano – Goiás/Brasil." Universidade Federal de Goiás, 2018. http://repositorio.bc.ufg.br/tede/handle/tede/8915.

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Submitted by Luciana Ferreira (lucgeral@gmail.com) on 2018-09-25T11:58:59Z No. of bitstreams: 2 Dissertação - Thiago Rocha - 2018.pdf: 10602498 bytes, checksum: 8ce06002f9e24519fcb16f6eb5148a7e (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Approved for entry into archive by Luciana Ferreira (lucgeral@gmail.com) on 2018-09-26T11:41:26Z (GMT) No. of bitstreams: 2 Dissertação - Thiago Rocha - 2018.pdf: 10602498 bytes, checksum: 8ce06002f9e24519fcb16f6eb5148a7e (MD5) license_rdf: 0 bytes, checksum: d41d8cd98f00b204e9800998ecf8427e (MD5)<br>Made available in DSpace
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Rodríguez, Velasco Juan José. "Variabilidad Temporal de la Precipitación y la Temperatura en las Comarcas de la Región de Cantabria. Temporal variation regarding rainfall and temperature in Cantabria." Doctoral thesis, Universidad de Cantabria, 2012. http://hdl.handle.net/10803/85716.

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La dificultad de disponer de series de referencia largas fiables para Cantabria nos llevó a plantearnos el problema de su reconstrucción estadística a través de un proceso de homogeneización. Tras dicha elaboración presentamos una cartografía que expresa la variabilidad de la Precipitación y la Temperatura a lo largo del siglo XX. Partimos de la existencia de contrastes regionales entre los cuales, los más significados, identifican dos comarcas de Cantabria con características bioclimáticas bien diferenciadas: el sector central de la Marina en la vertiente cantábrica y el valle de Campoo en la
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Loua, René Tato. "Variabilité et tendances des paramètres météorologiques en Guinée : analyse des forçages par méthodes numériques Climatology of Guinea: Study of Climate Variability in N’zerekore Climatological analysis of temperature and pluviometry in Guinea 1960-2016 Study on Temporal Variations of Surface Temperature and Rainfall at Conakry Airport, Guinea: 1960–2016 Surface Temperature Trend Estimation over 12 Sites in Guinea Using 57 Years of Ground-Based Data." Thesis, La Réunion, 2020. http://www.theses.fr/2020LARE0003.

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Dans un contexte de changement climatique, la variabilité des paramètres météorologiques demeure très sensible à notre environnement. Ce travail s’inscrit dans une perspective globale de l’analyse de la variabilité annuelle, interannuelle et spatiale des paramètres météorologiques en Guinée. Il est basé sur l’exploitation de longues séries d’observations (57ans) mesurées par 12 stations météorologiques réparties sur l’ensemble des régions de la Guinée. L’objectif de cette thèse est d’exploiter ces séries originales, afin d’améliorer la compréhension de la variabilité des paramètres météorologi
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Driver, Penny Meredith. "Rainfall variability over southern Africa." Doctoral thesis, University of Cape Town, 2014. http://hdl.handle.net/11427/12830.

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Includes bibliographical references.<br>Southern Africa is subject to high inter annual rainfall variability and the factors influencing southern African rainfall are not fully understood. The variability has been linked with various sea surface temperature anomalies (SSTAs) in each of the three major ocean basins as well as variability in the strength and position of regional atmospheric features. One of the atmospheric factors that may play a substantial role in southern African rainfall variability is the Botswana high, a high pressure cell which exists at the 500hPa level and is centred ov
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Books on the topic "Rainfall and temperature variability"

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Feddema, Johannes J. Evaluation of terrestrial climate variability using a moisture index. C.W. Thornthwaite Associates, Laboratory of Climatology ; Newark, Del., 1994.

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Nicholson, Sharon E. Atlas of African rainfall and its interannual variability. Florida State University, Department of Meteorology, 1988.

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Doi, Ram. Analysis of rainfall variability and drought occurences in Rajasthan. University of Reading Department of Geography, 1993.

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Doi, Ram. Analysis of rainfall variability and drought occurrences in Rajasthan. Department of Geography, University of Reading, 1993.

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An examination of precipitation variability with respect to frontal boundaries. Legates Consulting LLC, 2006.

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Robeson, Scott M. Spatial interpolation, network bias, and terrestrial air temperature variability. C.W. Thornthwaite Associates, Laboratory of Climatology, 1993.

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Hermance, John F. Historical Variability of Rainfall in the African East Sahel of Sudan. Springer International Publishing, 2014. http://dx.doi.org/10.1007/978-3-319-00575-1.

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Morvillez, Thierry. Monitoring temperature variability along the California Coast using Acoustic Tomography. Naval Postgraduate School, 1997.

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Iacobellis, Sam F. Climate variability and California low-level temperature inversions: Final paper. California Energy Commission, 2009.

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Variability of air temperature and atmospheric precipitation in the Arctic. Kluwer Academic Publishers, 2002.

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Book chapters on the topic "Rainfall and temperature variability"

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Tesfaye, Argaw, and Arragaw Alemayehu. "Climate Change and Variability on Food Security of Rural Household: Central Highlands, Ethiopia." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_188.

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AbstractThis chapter analyzes the impact of climate change and variability on food security of rural households in the central highlands of Ethiopia taking Basona Werana district as a case study site. Data were obtained from 123 households selected using simple random sampling from three agro ecological zones. Key informant interviews and focus group discussion (FDG) were used to supplement the data obtained from household survey. The monthly rainfall and temperature data are for 56 points of 10 × 10 km grids reconstructed from weather stations and meteorological satellite observations, which cover the period between 1983 and 2016. Standardized rainfall anomaly (SRA), linear regression (LR), and coefficient of variation (CV) are used to examine inter-annual and intra-annual variability of rainfall. Annual and seasonal rainfalls show decreasing trends over the period of observation. The decreasing trends in annual and March–May (Belg) rainfall totals exhibit statically significant decreasing trends at p = 0.05 level. Kiremt (June–September) shows statically significant decreasing trends at p = 0.1 level. Mean annual maximum and minimum temperatures show statically significant increasing trends at p = 0.05 level. More than 80% of households perceived that the climate is changing and their livelihoods (crop and livestock production) are impacted. The district belongs to one of the most vulnerable areas to climate change and variability in the country where large proportions of households (62%) are under different food insecurity classes. Results suggest that local level investigations are useful in developing context-specific climate change adaptation.
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Villamayor, Julián. "Contribution of the SST Modes to Rainfall Variability." In Influence of the Sea Surface Temperature Decadal Variability on Tropical Precipitation: West African and South American Monsoon. Springer International Publishing, 2019. http://dx.doi.org/10.1007/978-3-030-20327-6_6.

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Sreekesh, S., and Manasi Debnath. "Spatio-Temporal Variability of Rainfall and Temperature in Northeast India." In Geostatistical and Geospatial Approaches for the Characterization of Natural Resources in the Environment. Springer International Publishing, 2016. http://dx.doi.org/10.1007/978-3-319-18663-4_135.

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Mulama, Olga Nekesa, and Caroline Wanjiru Kariuki. "Panel Analysis of the Relationship Between Weather Variability and Sectoral Output in Kenya." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_77.

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AbstractClimate change and economic growth are closely connected. Climate change has the potential to reduce economic growth in developing countries due to their limited ability to respond to the negative impacts of a changing climate. A better understanding of weather variability can enhance climate change policies, which would help to support economic growth in these countries. As such, this research sought to examine if there is a long-run relationship between sectoral output and weather variables (temperature and rainfall) and to analyze the effect of weather variability on sectoral output using a panel of 13 sectors in Kenya.A Pedroni cointegration test was carried out to find out if there exists a long-run relationship among the variables and thereafter, a fully modified ordinary least squares regression was conducted to establish the effect of weather variability on sectoral output. The results indicate that there is a long-run relationship between temperature and sectoral output. Moreover, temperature has a larger effect on sectoral output compared to rainfall. With the evidence gathered from this research, it can be concluded that weather variability has an economic effect on sectoral output in Kenya. Given this, the Kenyan government needs to take a keen interest in understanding the effect of weather variability on the economy and in the broader picture, take steps to mitigate climate change.
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Vecchi, Gabriel A., and D. E. Harrison. "Interannual Indian Rainfall Variability and Indian Ocean Sea Surface Temperature Anomalies." In Earth's Climate. American Geophysical Union, 2013. http://dx.doi.org/10.1029/147gm14.

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Quenum, Gandome Mayeul L. D., Nana A. B. Klutse, Eric A. Alamou, Emmanuel A. Lawin, and Philip G. Oguntunde. "Precipitation Variability in West Africa in the Context of Global Warming and Adaptation Recommendations." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_85.

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AbstractIt is commonly accepted that the Earth’s climate is changing and will continue to change in the future. Rising temperatures are one of the direct indicators of global climate change. To investigate how the rising global temperature will affect the spatial pattern of rainfall in West Africa, the precipitation and potential evapotranspiration variables from ten Global Climate Models (GCMs) under the RCP8.5 scenario were driven by the Rossby Centre regional atmospheric model (RCA4) from the COordinated Regional Climate Downscaling EXperiment (CORDEX) and analyzed at four specific global warming levels (GWLs) (i.e., 1.5 °C, 2.0 °C, 2.5 °C, and 3.0 °C) above the preindustrial level. This study utilized three indices, the precipitation concentration index (PCI), the precipitation concentration degree (PCD), and the precipitation concentration period (PCP) over West Africa to explore the spatiotemporal variations in the characteristics of precipitation concentrations. Besides, the analysis of the effect of the specified GWLs on the Consecutive Dry Days (CDD), Consecutive Wet Days (CWD), and frequency of the intense rainfall events allowed to a better understanding of the spatial and temporal patterns of extreme precipitation in West Africa. Results reveal that, for the projections simulations and at each GWL, the rainfall onset starts one month earlier in the Gulf of Guinea in response to the control period. To encourage adaptation to the various changes in climate in general, and particularly in respect of rainfall, this study proposes several adaptation methods that can be implemented at the local (country) level, as well as some mitigation and adaptation strategies at the regional (West African) level.
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Ayanlade, Ayansina, Isaac Ayo Oluwatimilehin, Adeola A. Oladimeji, Godwin Atai, and Damilola T. Agbalajobi. "Climate Change Adaptation Options in Farming Communities of Selected Nigerian Ecological Zones." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-45106-6_156.

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AbstractThis chapter examines the impacts of climate change on three tropical crops and assesses the climate change adaptation options adopted by rural farmers in the region. The study was conducted among farming communities settled in three major ecological zones in Nigeria. Over 37 years of data on rainfall and temperature were analyzed to examine climate change impacts on three major crops: rice, maize, and cassava. Farmers’ adaptive capacity was assessed with a survey. Climatic data, crop yields, and survey data were analyzed using both descriptive and inferential statistics. The relation between rainfall/temperature and crop yields was examined using the Pearson correlation coefficient. Results show a high variation in the annual rainfall and temperature during the study period. The major findings from this research is that crops in different ecological zones respond differently to climate variation. The result revealed that there is a very strong relationship between precipitation and the yield of rice and cassava at p &lt;0.05 level of significance. The results further showed low level of adaption among the rural farmers. The study concludes that rainfall and temperature variability has a significant impact on crop yield in the study area, but that the adaptive capacity of most farmers to these impacts is low. There is a need for enhancing the adaptation options available to farmers in the region, which should be the focus of government policies.
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Rani, Seema, and S. Sreekesh. "Variability of Temperature and Rainfall in the Upper Beas Basin, Western Himalaya." In Climate Change, Extreme Events and Disaster Risk Reduction. Springer International Publishing, 2017. http://dx.doi.org/10.1007/978-3-319-56469-2_7.

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Wedajo, Gizachew Kabite, Misgana Kebede Muleta, Berhan Gessesse, and Sifan Abera Koriche. "Spatiotemporal Variability of Rainfall and Temperature for the Dhidhessa River Basin (Ethiopia)." In Recent Advances in Environmental Science from the Euro-Mediterranean and Surrounding Regions (2nd Edition). Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-51210-1_147.

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Larbi, Isaac, Clement Nyamekye, Fabien C. C. Hountondji, Gloria C. Okafor, and Peter Rock Ebo Odoom. "Climate Change Impact on Climate Extremes and Adaptation Strategies in the Vea Catchment, Ghana." In African Handbook of Climate Change Adaptation. Springer International Publishing, 2021. http://dx.doi.org/10.1007/978-3-030-42091-8_95-1.

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AbstractClimate change impact on rainfall and temperature extreme indices in the Vea catchment was analyzed using observation and an ensemble mean of bias-corrected regional climate models datasets for Representative Concentration Pathway (RCP 4.5) scenario. Rainfall extreme indices such as annual total wet-day precipitation (PRCPTOT), extremely wet days (R99P), consecutive wet days (CWD), consecutive dry days (CDD), and temperature indices such as warmest day (TXx) and warmest night (TNx) from the Expert Team on Climate Change Detection Monitoring Indices (ETCCDMI) were computed for both the historical (1986–2016) and future (2020–2049) period using the RClimdex. The parametric ordinary least square (OLS) regression approach was used to detect trends in the time series of climate change and extreme indices. The results show an increase in mean annual temperature at the rate of 0.02 °C/year and a variability in rainfall at the catchment, under RCP 4.5 scenario. The warmest day and warmest night were projected to increase by 0.8 °C and 0.3 °C, respectively, in the future relative to the historical period. The intensity (e.g., R99p) and frequency (e.g., CDD) of extreme rainfall indices were projected to increase by 29 mm and 26 days, respectively, in the future. This is an indication of the vulnerability of the catchment to the risk of climate disasters (e.g., floods and drought). Adaptation strategies such as early warning systems, availability of climate information, and flood control measures are recommended to reduce the vulnerability of the people to the risk of the projected impact of climate extreme in the future.
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Conference papers on the topic "Rainfall and temperature variability"

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Shahadat, Mustafa Kamal, Himadri Shekhar Mondal, Owana Marzia Moushi, and Md Bellal Hossain. "Influence of Temperature and Rainfall Variability on T. Aman Rice Production in South-Western Coastal Area of Bangladesh." In 2019 10th International Conference on Computing, Communication and Networking Technologies (ICCCNT). IEEE, 2019. http://dx.doi.org/10.1109/icccnt45670.2019.8944648.

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Santoso, E. H. "Intra-seasonal variability of the sea surface temperature and its relation to meridional wind and rainfall in Indonesian waters." In PROCEEDINGS OF THE 3RD INTERNATIONAL SYMPOSIUM ON CURRENT PROGRESS IN MATHEMATICS AND SCIENCES 2017 (ISCPMS2017). Author(s), 2018. http://dx.doi.org/10.1063/1.5064180.

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Zapata Posada, Dario, Jaime Hernán Aristizábal Ceballos, Julián Fernando Chaves Agudelo, and Milton Eduardo Pardo Romero. "Approach to Risk Management for the Hydrocarbon-Transport Infrastructure With Regard to Climate Change." In ASME 2015 International Pipeline Geotechnical Conference. American Society of Mechanical Engineers, 2015. http://dx.doi.org/10.1115/ipg2015-8544.

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Planet Earth has recently witnessed a change in the behavior of climate variables (including temperature, rainfall, etc.), primarily attributed to global warming. This climate change is a threat that is materializing and has affected elements of the infrastructure, ecosystems, and environmental conditions worldwide, as well as the National Development Plans [“Planes Nacionales de Desarrollo”]. The hydrocarbon-transport infrastructure in Colombia has not escaped the effects of climate variability. Therefore, a strategy must be devised to manage the risk and to adapt these systems in the light o
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Leonard, M., and M. Lambert. "Spatial Variability of Stochastically Generated Rainfall." In World Environmental And Water Resources Congress 2012. American Society of Civil Engineers, 2012. http://dx.doi.org/10.1061/9780784412312.200.

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Pushpa Tuppad and Kyle R Mankin. "Watershed Modeling Uncertainty from Spatial Rainfall Variability." In 2006 Portland, Oregon, July 9-12, 2006. American Society of Agricultural and Biological Engineers, 2006. http://dx.doi.org/10.13031/2013.24235.

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Benarroch, A. "Time variability of rainfall rates in Spain." In Ninth International Conference on Antennas and Propagation (ICAP). IEE, 1995. http://dx.doi.org/10.1049/cp:19950415.

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Siemens, Kimberly O., Eric D. Loucks, Sydney J. Kase, and Steven R. Heinz. "Spatial Variability of Rainfall in the Milwaukee, Wisconsin, Area." In World Environmental and Water Resources Congress 2015. American Society of Civil Engineers, 2015. http://dx.doi.org/10.1061/9780784479162.111.

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"Wetland vegetation – hydrology co-evolution in response to rainfall variability." In 20th International Congress on Modelling and Simulation (MODSIM2013). Modelling and Simulation Society of Australia and New Zealand (MSSANZ), Inc., 2013. http://dx.doi.org/10.36334/modsim.2013.h9.coletti.

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Gader, Khouloud, Ahlem Gara, Mohamed Slimani, and Mahjoub Mohamed Raouf. "Study of spatio-temporal variability of the maximum daily rainfall." In 2015 6th International Conference on Modeling, Simulation and Applied Optimization (ICMSAO). IEEE, 2015. http://dx.doi.org/10.1109/icmsao.2015.7293556.

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Suryanti, Krisna, Marzuki, Robi Muharsyah, Mutya Vonnisa, and Fredolin Tangang. "Diurnal rainfall variability in West Sumatra from rain gauge observation." In THE 1ST INTERNATIONAL CONFERENCE ON PHYSICS AND APPLIED PHYSICS (THE 1ST ICP&AP) 2019: Fundamental and Innovative Research for Improving Competitive Dignified Nation and Industrial Revolution 4.0. AIP Publishing, 2020. http://dx.doi.org/10.1063/5.0003182.

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Reports on the topic "Rainfall and temperature variability"

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Research Institute (IFPRI), International Food Policy. Rainfall and rainfall variability. International Food Policy Research Institute, 2014. http://dx.doi.org/10.2499/9780896298460_17.

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McNulty, Steven, Sarah Wiener, Emrys Treasure, et al. Southeast Regional Climate Hub Assessment of Climate Change Vulnerability and Adaptation and Mitigation Strategies. United States. Department of Agriculture, 2015. http://dx.doi.org/10.32747/2015.7279978.ch.

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Climate-related variability in rainfall, temperature, and extreme weather (e.g., drought, flood, unseasonal frost) pose significant challenges to working land (i.e., range, forest, and agricultural) managers across the southeastern United States. This document outlines the type of risks that southeastern agriculture and forestry currently face and, in some cases, options to address these risks. Finally, this document looks forward to providing direction on the priority needs of Southeast working land managers and an outline of how the USDA Southeast Climate Hub will address those needs.
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Research Institute (IFPRI), International Food Policy. Effects of Rainfall Variability on Maize Yields. International Food Policy Research Institute, 2014. http://dx.doi.org/10.2499/9780896298460_19.

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McCartney, Matthew, and Vladimir Smakhtin. Water storage in an era of climate change: addressing the challenge of increasing rainfall variability. Blue paper. International Water Management Institute (IWMI), 2010. http://dx.doi.org/10.5337/2010.012.

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Zaapa, Christopher J., and James B. Edson. Horizontal Variability of Ocean Skin Temperature from Airborne Infrared Imagery. Defense Technical Information Center, 2004. http://dx.doi.org/10.21236/ada427582.

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Jessup, Andrew T. Horizontal Variability of Ocean Skin Temperature from Airborne Infrared Imagery. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada629819.

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Zappa, Christopher J., and James B. Edson. Horizontal Variability of Ocean Skin Temperature from Airborne Infrared Imagery. Defense Technical Information Center, 2003. http://dx.doi.org/10.21236/ada629835.

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Zappa, Christopher J., and James B. Edson. Horizontal Variability of Ocean Skin Temperature from Airborne Infrared Imagery. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada627298.

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Jessup, Andrew T. Horizontal Variability of Ocean Skin Temperature from Airborne Infrared Imagery. Defense Technical Information Center, 2002. http://dx.doi.org/10.21236/ada627371.

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Poulain, Pierre-Marie. Variability of the Surface Circulation and Temperature in the Adriatic Sea. Defense Technical Information Center, 1997. http://dx.doi.org/10.21236/ada628942.

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