{"id":377,"date":"2014-04-28T09:58:13","date_gmt":"2014-04-28T13:58:13","guid":{"rendered":"http:\/\/hydrouncertainty.org\/?p=377"},"modified":"2019-01-27T20:43:01","modified_gmt":"2019-01-28T01:43:01","slug":"hoshin-v-gupta-is-awarded-john-dalton-medal-2014","status":"publish","type":"post","link":"http:\/\/hydrouncertainty.org\/2014\/04\/28\/hoshin-v-gupta-is-awarded-john-dalton-medal-2014\/","title":{"rendered":"Hoshin V. Gupta is awarded John Dalton Medal 2014"},"content":{"rendered":"\n
\"\"
Hoshin V. Gupta<\/figcaption><\/figure><\/div>\n\n\n\n

The 2014 John Dalton Medal is awarded to Hoshin V. Gupta for seminal contributions to systems approaches to hydrologic science, for training a large number of outstanding young scientists, and for unselfish stewardship of hydrologic science and practice on a global scale. <\/p>\n\n\n\n

Hoshin V. Gupta is largely responsible for, and is the most visible \nsymbol of, the evolution of systems approaches in hydrologic and land \nsurface modelling. Gupta developed the first global optimisation \nalgorithm specifically suited for the particular characteristics of \nhydrological models. Gupta was among the first to use the notion of the \nperceptual, conceptual, mathematical and numerical stages of model \ndevelopment, and the first to present a generalised representation of \nmodel structure, which then allowed a single evaluative framework for \nconsidering data assimilation, parameter optimisation and ensemble \nmodelling. <\/p>\n\n\n\n

Gupta was one of the first to identify the need for multi-objective \noptimisation of watershed scale hydrologic models. He brought artificial\n neural networks into hydrologic modelling and demonstrated how they can\n be used for continuous rainfall-runoff modelling. He developed new \nBayesian stochastic approaches for uncertainty analysis. Gupta also \nproposed a new theory of diagnostic model evaluation, which, for the \nfirst time, explicitly included hydrologic process understanding, in the\n form of runoff signatures, in the formulation of objective functions. \nHis contributions to hydrologic science, especially modelling, have been\n phenomenal and consistently of excellent quality maintained over three \ndecades: Gupta is one of most visible hydrologists at the international \nlevel. <\/p>\n\n\n\n

Gupta has collaborated widely and has mentored a large number of \noutstanding young scientists. He is an acknowledged world leader, with a\n long sustained international record of leadership of and service to the\n discipline via international committees and editorial activities. Few \nscientists have left a deeper footprint in hydrology than him. For \nGupta\u2019s pioneering, seminal and sustained contributions to systems \napproaches to watershed hydrologic modelling, for his role in the \ntraining of a large number of young scientists, and for his unselfish \nstewardship of hydrologic science and practice on a global scale, Gupta \nis awarded the John Dalton Medal.<\/p>\n","protected":false},"excerpt":{"rendered":"

The 2014 John Dalton Medal is awarded to Hoshin V. Gupta for seminal contributions to systems approaches to hydrologic science, for training a large number of outstanding young scientists, and for unselfish stewardship of hydrologic science and practice on a<\/p>\n","protected":false},"author":1,"featured_media":378,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_monsterinsights_skip_tracking":false,"_monsterinsights_sitenote_active":false,"_monsterinsights_sitenote_note":"","_monsterinsights_sitenote_category":0},"categories":[9],"tags":[],"jetpack_featured_media_url":"http:\/\/hydrouncertainty.org\/wp-content\/uploads\/2019\/01\/2014_hoshin_v._gupta_orig.jpg.250x250_q85_crop_target-5148_upscale_zoom-12.jpg","_links":{"self":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/377"}],"collection":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/comments?post=377"}],"version-history":[{"count":3,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/377\/revisions"}],"predecessor-version":[{"id":689,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/posts\/377\/revisions\/689"}],"wp:featuredmedia":[{"embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/media\/378"}],"wp:attachment":[{"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/media?parent=377"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/categories?post=377"},{"taxonomy":"post_tag","embeddable":true,"href":"http:\/\/hydrouncertainty.org\/wp-json\/wp\/v2\/tags?post=377"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}