Your search found 38 records
1 Global change information packet. Beltsville, MD, USA: National Agricultural Library. v.p.
(Location: IWMI-HQ Call no: P 2101 Record No: H010439)
2 Singer, S. F.; Avery, D. T. 2008. Unstoppable global warming: every 1,500 years. Lanham, MD, USA: Rowman & Littlefield Publishers. 278p.
Climate change ; History ; Air temperature ; Environmental temperature ; Drought ; Greenhouse effect ; Models ; Urbanization ; Land use ; Weather ; Health hazards ; Protocols ; Energy resources / Europe / Middle East / Asia / USA / Africa / China
(Location: IWMI-HQ Call no: 363.73874 G000 SIN Record No: H041257)
3 Gash, J. H. C.; Shuttleworth, W. J. (Comps.) 2007. Evaporation: selection, introduction and commentary. Wallingford, UK: International Association of Hydrological Sciences (IAHS). 521p. (IAHS Benchmark Papers in Hydrology 2)
Evaporation ; Evapotranspiration ; Measurement ; Lysimetry ; Water balance ; Stream flow ; Soil water movement ; Climate ; Models ; Photosynthesis ; Stomatal conductance ; Forests ; Transpiration ; Soil profiles ; Afforestation ; Vegetation ; Weather
(Location: IWMI HQ Call no: 551.572 G000 GAS Record No: H043494)
(0.40 MB)
4 Strahler, A.; Strahler, A. 1997. Physical geography, science and systems of the human environment. New York, NY, USA: John Wiley. 637p.
Geography ; Electromagnetic radiation ; Ozone layer ; Ozone depletion ; Air temperature ; Relative humidity ; Precipitation ; Water balance ; Air pollution ; Winds ; Weather ; Climate ; Latitude ; Altitude ; Land degradation ; Rain ; Greenhouse effect ; Earthquakes ; Landforms ; Groundwater management ; Glaciers ; Ecosystems ; Mapping ; Remote sensing ; GIS ; Soil classification
(Location: IWMI HQ Call no: 910 G000 STR Record No: H043932)
(0.19 MB)
5 Eriyagama, Nishadi; Chartres, Colin; Smakhtin, Vladimir. 2011. Climate change challenges to agriculture in the tropics and subtropics: the need for research and development solutions. Highlights: The Crawford Fund Newsletter, pp.3-5.
Climate change ; Weather ; Reservoirs ; Flooding ; Drought ; Rain ; Agriculture ; Arid zones ; Livestock ; Research / Sri Lanka / Dry Zone
(Location: IWMI HQ Call no: e-copy only Record No: H044287)
http://www.crawfordfund.org/assets/files/newsletters/HIGHLIGHTS_APRIL_2011.pdf
https://vlibrary.iwmi.org/pdf/H044287.pdf
https://vlibrary.iwmi.org/pdf/H044287.pdf
(1.45 MB) (1.45MB)
6 Ensor, J; Berger, R. 2009. Understanding climate change adaptation: lessons from community-based approaches. Warwickshire, UK: Practical Action Publishing. 192p.
Climate change ; Weather ; Flooding ; Floodplains ; Drought ; Water resources ; Adaptation ; Erosion ; Deserts ; Rice ; Salinity ; Coastal area ; Communities ; Pastoralism ; Social aspects ; Policy / Bangladesh / Nepal / Pakistan / Sri Lanka / Kenya / Niger / Sudan / Peru / Himalaya / Chitwan District / Andes
(Location: IWMI HQ Call no: 551.6 G000 ENS Record No: H044365)
(0.45 MB)
7 Nagothu, U. S.; Gosain, A. K.; Kuppannan, Palanisami. (Eds.) 2012. Water and climate change: an integrated approach to address adaptation challenges. New Delhi, India: Macmillan. 282p.
Water resources ; Water management ; Freshwater ; Climate change ; Adaptation ; Temperature ; Rain ; Precipitation ; Drought ; Flooding ; River basins ; Assessment ; Water availability ; Water use efficiency ; Water quality ; Monitoring ; Statistical analysis ; Risks ; Economic situation ; Land use ; Institutions ; Policy ; Hydrology ; Simulation models ; Topography ; Irrigation programs ; Irrigated sites ; Greenhouse gases ; Environmental effects ; Agricultural production ; Weather ; Crops ; Rice ; Maize ; Groundnuts ; Crop insurance ; Indicators / India / Andhra Pradesh / Godavari River Basin / Manjeera River / Sri Ram Sagar Project / Dowleswaram Barrage / Nizam Sagar Project / Kaddam Project / Devadula Lift Irrigation Scheme / Singur Project
(Location: IWMI HQ Call no: 333.91 G635 NAG Record No: H044763)
(0.36 MB)
8 Barton, D. N.; Kakumanu, Krishna Reddy; Kuppannan, Palanisami; Tirupathaiah, K. 2012. Analysis of economic incentives for managing risk at the farm level in the context of climate change. In Nagothu, U. S.; Gosain, A. K.; Palanisami, Kuppannan (Eds.). Water and climate change: an integrated approach to address adaptation challenges. New Delhi, India: Macmillan. pp.143-168.
Climate change ; Adaptation ; Farm management ; Risk management ; Weather ; Indicators ; Crop insurance ; River basins ; Rain ; Forecasting ; Surveys ; Irrigation systems ; Models ; Farmers / India / Andhra Pradesh / Chinnanganpur Village / Machavaram Village
(Location: IWMI HQ Call no: IWMI Record No: H044767)
(1.84 MB)
9 Nagothu, U. S.; Barton, D. N.; Gosain, A. K.; Kuppannan, Palanisami; Tirupathaiah, K.; Stalnacke, P.; Gupta, S.; Deelstra, J. 2012. Summary and way forward. In Nagothu, U. S.; Gosain, A. K.; Palanisami, Kuppannan (Eds.). Water and climate change: an integrated approach to address adaptation challenges. New Delhi, India: Macmillan. pp.263-280.
Climate change ; Adaptation ; River basins ; Hydrology ; Simulation models ; Water management ; Water availability ; Agricultural production ; Water use efficiency ; Water quality ; Weather ; Crop insurance ; Indicators ; Impact assessment ; Policy / India / Andhra Pradesh / Godavari River Basin
(Location: IWMI HQ Call no: IWMI Record No: H044770)
(1.37 MB)
10 Nagothu, U. S.; Gosain, A. K.; Kuppannan, Palanisami. (Eds.) 2012. Water and climate change: an integrated approach to address adaptation challenges. New Delhi, India: Macmillan. 282p.
Water resources ; Water management ; Freshwater ; Climate change ; Adaptation ; Temperature ; Rain ; Precipitation ; Drought ; Flooding ; River basins ; Assessment ; Water availability ; Water use efficiency ; Water quality ; Monitoring ; Statistical analysis ; Risks ; Economic situation ; Land use ; Institutions ; Policy ; Hydrology ; Simulation models ; Topography ; Irrigation programs ; Irrigated sites ; Greenhouse gases ; Environmental effects ; Agricultural production ; Weather ; Crops ; Rice ; Maize ; Groundnuts ; Crop insurance ; Indicators / India / Andhra Pradesh / Godavari River Basin / Manjeera River / Sri Ram Sagar Project / Dowleswaram Barrage / Nizam Sagar Project / Kaddam Project / Devadula Lift Irrigation Scheme / Singur Project
(Location: IWMI HQ Call no: 333.91 G635 NAG c2 Record No: H044893)
11 Chattopadhyay, S.; Jain, R.; Chattopadhyay, G. 1990. Estimating potential evapotranspiration from limited weather data over Gangetic West Bengal, India: a neurocomputing approach. Meteorological Applications, 16(3):405-411. [doi: https://doi.org/10.1002/met.138]
Evapotranspiration ; Monsoon climate ; Weather data ; Weather ; Models / India / Gangetic West Bengal
(Location: IWMI HQ Call no: e-copy only Record No: H045065)
(0.15 MB)
This paper reports the development of a neurocomputing-based model for estimating the potential evapotranspiration over Gangetic West Bengal, India during the summer monsoon months of June, July and August. An artificial neural network is implemented in the form of multilayer perceptron to generate the model. Three weather variables, surface temperature, vapour pressure and rainfall are used as the independent variables in generating the model. The performance of the model is judged statistically against non-linear regression in the form of asymptotic regression. The study reveals that an artificial neural network is more efficient than the regression approach to estimate the potential evapotranspiration in the summer monsoon months. Furthermore, it is established that the artificial neural network and non-linear regression have almost equal efficiency in the previously mentioned estimation in the month of June. However, in July and August the higher values of correlation and Willmott’s indices, and lower values of estimation error, indicate that the artificial neural network is more reliable than the non-linear regression approach. Since evapotranspiration is one of the basic components of the hydrological cycle and is essential for estimating irrigation water requirement, an efficient estimation procedure may help in agrometeorological modelling and irrigation scheduling in the summer monsoon months, which are of high importance for agriculture in the study zone.
12 Wood, E. F.; Roundy, J. K.; Troy, T. J.; van Beek, L. P. H.; Bierkens, M. F. P.; Blyth, E.; de Roo, A.; Doll, P.; Ek, M.; Famiglietti, J.; Gochis, D.; van de Giesen, N.; Houser, P.; Jaffe, P. R.; Kollet, S.; Lehner, B.; Lettenmaier, D. P.; Peters-Lidard, C.; Sivapalan, M.; Sheffield, J.; Wade, A.; Whitehead, P. 2011. Hyperresolution global land surface modeling: meeting a grand challenge for monitoring earth’s terrestrial water. Water Resources Research, 47:10.
Land cover ; Surface water ; Hydrology ; Social aspects ; Water quality ; Soil moisture ; Weather ; Climate
(Location: IWMI HQ Call no: e-copy only Record No: H045083)
(1.23 MB)
13 Field, H. L.; Solie, J. B. (Eds.) 2007. Introduction to agricultural engineering technology: a problem solving approach. 3rd ed. New York, NY, USA: Springer. 389p.
Agricultural engineering ; Technology ; Problem solving ; Flow charts ; Equipment ; Engines ; Hydraulic power ; Tractors ; Economic aspects ; Weather ; Rain ; Runoff ; Erosion ; Irrigation systems ; Biological production ; Animals ; Waste management ; Heating ; Ventilation ; Air conditioning ; Electricity
(Location: IWMI HQ Call no: 631 G000 FIE Record No: H045433)
(0.31 MB)
14 Deb, S. K.; Shukla, M. K. 2011. An overview of some soil hydrological watershed models. In Shukla, M. K. (Ed.) Soil hydrology, land use and agriculture: measurement and modelling. Wallingford, UK: CABI. pp.75-116.
Soil erosion ; Hydrology ; Watersheds ; Models ; Climate change ; Precipitation ; Runoff ; Evapotranspiration ; Groundwater recharge ; Infiltration ; Weather
(Location: IWMI HQ Call no: e-copy SF Record No: H045775)
15 Sharma, Bharat; Rebelo, Lisa-Maria; Amarnath, Giriraj; Miltenburg, I. 2013. Launching next generation ICT for weather and water information and advice to smallholders in Africa [Abstract only]. Paper presented at the Mobile Services that Empower Vulnerable Communities, Catholic Relief Services (CRS) 5th Conference on Information and Communications Technologies for Development (ICT4D), Accra, Ghana, 19-21 March 2013. 1p.
Information and communication technologies (ICTs) ; Weather ; Smallholders ; Water resources / Africa
(Location: IWMI HQ Call no: e-copy only Record No: H045902)
(0.11 MB)
We implemented an IFAD-supported project to promote ICT-based technologies for weather, water and crop –related information and advice to smallholders in Africa. A detailed user need assessment was carried out at four project sites in Ethiopia, Egypt, Sudan and Mali. About 60 farmers at each of the site receive customised information allowing them to plan at the individual field scale not just what to plant and irrigate, but when the weather conditions will be just right for maximum success. Additionally, the farmers in Sudan shall receive forecast on the potential floods. This has hugely empowered the small farmers of the vulnerable communities.
16 Mai, V. T.; Hoanh, Chu Thai; Van Keulen, H.; Hessel, R. 2013. Spatial modelling for nitrogen leaching from intensive farming in Red River Delta of Vietnam. Asian Journal of Water, Environment and Pollution, 10(3):51-61.
Intensive farming ; Nitrogen ; Leaching ; Rivers ; Deltas ; Irrigation ; Land use ; Soil water content ; Vegetables ; Crop production ; Fertilizers ; Weather ; Models ; Calibration / Vietnam / Tam Duong District / Red River Delta
(Location: IWMI HQ Call no: e-copy only Record No: H046039)
(1.12 MB)
In this study, a spatial dynamic model was developed, to simulate nitrogen dynamics in Van Hoi commune, Tam Duong district, Vietnam, for different soil and land use types, under different irrigation and fertilizer regimes. The model has been calibrated using measured nitrogen concentrations in soil solution in March and August 2004 and validated for data from March and August 2005. Lateral flow was low in this level area. Percolation was the main process leading to high nitrogen leaching losses to ground water. Calculated annual leaching losses varied from 88 to 122 kg N ha–1 in flowers, 64 to 82 in vegetables of the cabbage group, 51 to 76 in chili, 56 to 75 in vegetables of the squash group, and 36 to 55 in rice.
17 Amarnath, Giriraj; Simons, G.; Sharma, Bharat; Mohammed, Y.; Gismalla, Y.; Smakhtin, Vladimir. 2013. Smart-ICT for weather and water information and advice to smallholders in Africa. In UNESCO-IHE Institute for Water Education. Conference on New Nile Perspectives Scientific Advances in the eastern Nile Basin, Khartoum, Sudan 6-8 May 2013. Advance copy of extended abstracts. Delft, Netherlands: UNESCO-IHE Institute for Water Education. pp.117-125.
Information and communication technologies (ICTs) ; Weather ; Smallholders ; Farmers ; Water resources ; Spate irrigation ; Flooding ; Mapping ; Rivers ; Catchment areas ; Satellite surveys ; Satellite imagery ; Evapotranspiration ; Crops ; Biomass / Africa / Sudan / Gash River
(Location: IWMI HQ Call no: e-copy only Record No: H046103)
(1.84 MB)
Climate change, water scarcity and food security are becoming increasingly important topics for the growing population of Africa. Due to a general lack of water resources in semi-arid and arid zones, water is an increasingly scarce input in agriculture. The impact of climate change exacerbates this situation further. Even in areas with abundant water resources, optimal use is hampered by insufficient infrastructure to capture these resources and knowledge on appropriate use. With the increased demand and competition for limited water resources the challenge is to increase agricultural production while reducing water consumption (“more crop per drop”). Solutions must be found to enable rural people to overcome poverty, and a start can be made by assisting in food production and water management to combat food insecurity. Local solutions must be adopted in which rural people’s access to new technologies increases. Therefore, smart and affordable technologies need to be adapted to customize farm management for this group of African farmers. Poor farmers need to access real-time information, be able to exchange and apply it: smart ICT (e.g. cell-phones backed up by the web) can play a fundamental role in the communication process.
18 Kakumanu, Krishna Reddy; Kuppannan, Palanisami; Reddy, K. G.; Ashok, B.; Nagothu, U. S.; Xenarios, S.; Tirupataiah, K. 2013. An insight on farmers' willingness to pay for insurance premium in South India: hindrances and challenges. In Gommes, R.; Kayitakire, F. (Eds.). The challenges of index-based insurance for food security in developing countries: proceedings of a technical workshop organised by the EC [European Union] Joint Research Centre (JRC) and the International Research Institute for Climate and Society (IRI), 2-3 May 2012. Luxembourg: Publications Office of the European Union. pp.137-145.
Agricultural production ; Insurance ; Farmers ; Weather ; Crops ; River basins / South India / Andhra Pradesh / Krishna River Basin / Nagarjuna Sagar Project
(Location: IWMI HQ Call no: e-copy only Record No: H046139)
(5.00 MB)
19 Bedson, C.; Lynch, V.; Cargeeg, D.; Matthews, S. 2006. Humanities alive geography. 2nd ed. Queensland, Australia: John Wiley. 189p.
Humanities ; Geography ; Maps ; GIS ; Information and communication technologies (ICTs) ; Weather ; Natural disasters ; Volcanoes ; Earthquakes ; Rain forests
(Location: IWMI HQ Call no: 917.94 G000 BED Record No: H046058)
(0.41 MB)
20 Rautaray, S. K.; Mishra, A.; Mohanty, R. K.; Verma, O. P.; Behera, M. S.; Kumar, A. 2013. Pond based integrated farming system for yield stability in rainfed areas under aberant weather conditions. In Madhu, M.; Jakhar, P.; Adhikary, P. P. (Eds.). Natural resource conservation emerging issues and future challenges. New Delhi, India: Satish Serial Publishing House. pp. 383-388.
Farming systems ; Rainfed farming ; Weather ; Ponds ; Rice ; Fish farming ; Income ; Nutrient balance ; Vegetables
(Location: IWMI HQ Call no: e-copy only Record No: H046251)
(0.11 MB)
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