{"id":52,"date":"2017-12-03T14:46:16","date_gmt":"2017-12-03T13:46:16","guid":{"rendered":"http:\/\/wp.unil.ch\/gaia\/?page_id=52"},"modified":"2022-08-26T12:50:12","modified_gmt":"2022-08-26T10:50:12","slug":"research","status":"publish","type":"page","link":"https:\/\/wp.unil.ch\/gaia\/research\/","title":{"rendered":"Research"},"content":{"rendered":"<p>One of our main research areas is related to Multiple-Point Statistics, and here is a <a href=\"https:\/\/wp.unil.ch\/gaia\/mps\/\">list of references related to MPS<\/a>.<\/p>\n<p>Please check out the <a href=\"https:\/\/trainingimages.org\/index.html\">book<\/a> that will tell you everything you always wanted to know about MPS, which is published with <a href=\"https:\/\/eu.wiley.com\/WileyCDA\/WileyTitle\/productCd-111866275X.html\">Wiley<\/a>.<\/p>\n<p>Below is a (<u>incomplete and not up-to-date<\/u>) list of some recent and less recent research topics. For a more complete list, please refer to the <a href=\"https:\/\/wp.unil.ch\/gaia\/publications\/\">publications<\/a> page where links to journal articles are available, except the very recent ones for which there may be an embargo period. You can also send me an email if you need a specific paper (please no researchgate or linkedin messages).<\/p>\n<p><strong><u><b>Ongoing projects<\/b><\/u><\/strong><\/p>\n<ul>\n<li>Downscaling of digital elevation models<\/li>\n<li>Stochastic models for super-small-scale rainfall generation<\/li>\n<li>Colorization of multispectral remote sensing images<\/li>\n<li>Analogue-based fusion of different satellite products<\/li>\n<li>Fundamental development of geostatistical algorithms (working on both training image-based and covariance-based models)<\/li>\n<li>Environmental data acquisition with innovative low-cost sensors \u2013 we want to know where the data we model are coming from!<\/li>\n<li>Application of the above to real-world questions, mostly in the context of environmental change in alpine regions<\/li>\n<\/ul>\n<p><strong><u><b>A selection of some past projects<\/b><\/u><\/strong><\/p>\n<hr \/>\n<p>Building large <a href=\"https:\/\/agupubs.onlinelibrary.wiley.com\/doi\/pdfdirect\/10.1029\/2019WR026085\">distributed and spatially-calibrated hydrological models<\/a> for large semiarid catchments. Determining the value of different datasets (<a href=\"https:\/\/hess.copernicus.org\/articles\/24\/5379\/2020\/\">climate reanalysis<\/a> datasets and <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S030917082030230X\">evaporation datasets<\/a>) for improved hydrological forecast, <a href=\"https:\/\/www.researchgate.net\/profile\/Moctar-Dembele\/publication\/355682470_Contrasting_dynamics_of_hydrological_processes_in_the_Volta_River_basin_under_global_warming\/links\/61867cc707be5f31b74d4fd7\/Contrasting-dynamics-of-hydrological-processes-in-the-Volta-River-basin-under-global-warming.pdf\">under different climate scenarios<\/a>.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1219\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-122429.jpg\" alt=\"\" width=\"550\" height=\"240\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-122429.jpg 1006w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-122429-300x131.jpg 300w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-122429-768x335.jpg 768w\" sizes=\"auto, (max-width: 550px) 100vw, 550px\" \/><\/p>\n<hr \/>\n<p>Algorithms for training image-based <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2011b.pdf\">Super-Resolution<\/a> and downscaling of <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/jha2013_proof.pdf\">Climate models<\/a>, <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/jha2015a.pdf\"> rainfall fields<\/a>,\u00a0 <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/rasera2019.pdf\">digital elevation models<\/a>, and <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/oriani2020a.pdf\">satellite imagery<\/a>.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-1221 \" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-123615-e1661510241333.jpg\" alt=\"\" width=\"217\" height=\"304\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-123615-e1661510241333.jpg 409w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-123615-e1661510241333-214x300.jpg 214w\" sizes=\"auto, (max-width: 217px) 100vw, 217px\" \/><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1202\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-183255.jpg\" alt=\"\" width=\"239\" height=\"238\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-183255.jpg 453w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-183255-300x298.jpg 300w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-183255-150x150.jpg 150w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-183255-100x100.jpg 100w\" sizes=\"auto, (max-width: 239px) 100vw, 239px\" \/><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-71\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image017-1-300x98.png\" alt=\"\" width=\"414\" height=\"135\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image017-1-300x98.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image017-1-768x252.png 768w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image017-1-640x210.png 640w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image017-1.png 872w\" sizes=\"auto, (max-width: 414px) 100vw, 414px\" \/><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-103\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image105.jpg\" alt=\"\" width=\"155\" height=\"64\" \/><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-101\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image106.jpg\" alt=\"\" width=\"155\" height=\"63\" \/><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-102\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image107.jpg\" alt=\"\" width=\"155\" height=\"63\" \/><\/p>\n<hr \/>\n<p>Multiple-point geostatistics for\u00a0<a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2015a.pdf\">noise-filtering time series,<\/a> for <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/oriani2014.pdf\">generating rainfall time series data<\/a>, and for gap-filling streamflow time series, at <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/oriani2016.pdf\">single sites<\/a> or at <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/dembele2019.pdf\">multiple sites along a large river network<\/a>, and for <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/oriani2020b.pdf\">multisite rainfall<\/a>.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-90\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image081-300x277.gif\" alt=\"\" width=\"405\" height=\"374\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image081-300x277.gif 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image081-238x220.gif 238w\" sizes=\"auto, (max-width: 405px) 100vw, 405px\" \/><\/p>\n<hr \/>\n<p>Multiple-point geostatisics with the <a href=\"https:\/\/gmd.copernicus.org\/articles\/13\/2611\/2020\/\">QuickSampling algorithm<\/a> &#8211; more on the methods and open-access code <a href=\"https:\/\/wp.unil.ch\/gaia\/mps\/qs\/\">here<\/a>.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1206\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/gmd-13-2611-2020-avatar-web.png\" alt=\"\" width=\"412\" height=\"355\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/gmd-13-2611-2020-avatar-web.png 600w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/gmd-13-2611-2020-avatar-web-300x259.png 300w\" sizes=\"auto, (max-width: 412px) 100vw, 412px\" \/><\/p>\n<hr \/>\n<p>Strategies to accelerate multiple-point geostatistical simulation: by using <a href=\"https:\/\/drive.google.com\/file\/d\/1U_R13jSnN25ZSTg_LNUuGsG6NZbP5NS2\/view\">a two-stage strategy<\/a> that distinguishes complex and simple patterns, or through <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2010b.pdf\">parallelization.<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1226\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-124843.jpg\" alt=\"\" width=\"275\" height=\"306\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-124843.jpg 540w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-124843-270x300.jpg 270w\" sizes=\"auto, (max-width: 275px) 100vw, 275px\" \/><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-106\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image111.jpg\" alt=\"\" width=\"364\" height=\"228\" \/><\/p>\n<p>Quantative characterization of speleothems for paleoclimate reconstruction, with <a href=\"https:\/\/agupubs.onlinelibrary.wiley.com\/doi\/full\/10.1029\/2012GL050986\">new metrics<\/a>\u00a0used in Ethiopia (<a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0277379118300519\">here<\/a> and <a href=\"https:\/\/www.cambridge.org\/core\/journals\/quaternary-research\/article\/abs\/stalagmite-evidence-for-early-holocene-multidecadal-hydroclimate-variability-in-ethiopia\/6130F875B29E64131B1B3B9D4E8F67FC#\">here<\/a>), as a <a href=\"https:\/\/www.researchgate.net\/profile\/Andy-Baker\/publication\/349794558_The_Properties_of_Annually_Laminated_Stalagmites-A_Global_Synthesis\/links\/60a6d27b92851ca9dc082fa2\/The-Properties-of-Annually-Laminated-Stalagmites-A-Global-Synthesis.pdf\">global review<\/a>, and with <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S009830042200005X\">a digital technique to automate laminae counting<\/a>.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1192\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-180854.jpg\" alt=\"\" width=\"390\" height=\"162\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-180854.jpg 1005w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-180854-300x124.jpg 300w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-180854-768x319.jpg 768w\" sizes=\"auto, (max-width: 390px) 100vw, 390px\" \/><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-73\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image035-300x107.png\" alt=\"\" width=\"387\" height=\"138\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image035-300x107.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image035-768x274.png 768w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image035-1024x366.png 1024w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image035-616x220.png 616w\" sizes=\"auto, (max-width: 387px) 100vw, 387px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/drive.google.com\/file\/d\/1Tv2_CLuBR5yasOaoI1rLX8nsR8mHjVko\/view\">Colorization<\/a> of ancient remote sensing images.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1205\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-183842.jpg\" alt=\"\" width=\"457\" height=\"334\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-183842.jpg 595w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-183842-300x219.jpg 300w\" sizes=\"auto, (max-width: 457px) 100vw, 457px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/essd.copernicus.org\/articles\/11\/579\/2019\/\">Glacier observation and velocity quantification<\/a> with repeated drone surveys.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1189\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-175701.jpg\" alt=\"\" width=\"518\" height=\"285\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-175701.jpg 593w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-175701-300x165.jpg 300w\" sizes=\"auto, (max-width: 518px) 100vw, 518px\" \/><\/p>\n<hr \/>\n<p>Geostatistical characterization of bird migration patterns using <a href=\"https:\/\/www.mdpi.com\/2072-4292\/11\/19\/2233\">radars<\/a> and <a href=\"https:\/\/royalsocietypublishing.org\/doi\/full\/10.1098\/rsif.2021.0194\">models<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1187\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-175524.jpg\" alt=\"\" width=\"385\" height=\"295\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-175524.jpg 489w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-175524-300x230.jpg 300w\" sizes=\"auto, (max-width: 385px) 100vw, 385px\" \/><\/p>\n<hr \/>\n<p>Characterization of r<a href=\"https:\/\/www.frontiersin.org\/articles\/10.3389\/feart.2020.546246\/full\">ainfall patterns in tropical island catchments<\/a>.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1185\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/feart-08-546246-g001.jpg\" alt=\"\" width=\"392\" height=\"312\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/feart-08-546246-g001.jpg 941w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/feart-08-546246-g001-300x239.jpg 300w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/feart-08-546246-g001-768x612.jpg 768w\" sizes=\"auto, (max-width: 392px) 100vw, 392px\" \/><\/p>\n<hr \/>\n<p>Investigation of the best possible path in sequential simulation algorithms <a href=\"https:\/\/drive.google.com\/file\/d\/18pWnv6bJTiL6CfMGwjLCYL8UtweOJv1C\/view\">for speed<\/a> and <a href=\"https:\/\/drive.google.com\/file\/d\/1lpayFjt7dVRnHXb4SUbjWncJVNOxf5Mk\/view\">for best simulation<\/a>.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1183\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/download-1.png\" alt=\"\" width=\"423\" height=\"261\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/download-1.png 1554w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/download-1-300x185.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/download-1-1024x631.png 1024w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/download-1-768x473.png 768w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/download-1-1536x947.png 1536w\" sizes=\"auto, (max-width: 423px) 100vw, 423px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/Oriani2017b.pdf\" target=\"_blank\" rel=\"noopener noreferrer\">Rainfall simulation with multiple-point geostatistics<\/a> including radar data, elevation and weather types.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-112\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/radar-300x90.png\" alt=\"\" width=\"514\" height=\"154\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/radar-300x90.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/radar-768x230.png 768w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/radar-1024x307.png 1024w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/radar-640x192.png 640w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/radar.png 1920w\" sizes=\"auto, (max-width: 514px) 100vw, 514px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/yin2017a.pdf\">Gap-filling of satellite images using analogues<\/a> \u2013 and <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/yin2017b.pdf\">other techniques<\/a> (with particular focus on Landsat-7, but not only)<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-40\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image007-300x273.png\" alt=\"\" width=\"416\" height=\"379\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image007-300x273.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image007-768x699.png 768w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image007-1024x932.png 1024w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image007-242x220.png 242w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image007.png 1075w\" sizes=\"auto, (max-width: 416px) 100vw, 416px\" \/><\/p>\n<hr \/>\n<p>Inverse modeling of subglacial networks, with fundamental developments on <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/irarrazaval2019.pdf\">a method for simulating a channels network conditioned to pressure data<\/a>, and its <a href=\"https:\/\/www.cambridge.org\/core\/services\/aop-cambridge-core\/content\/view\/98C9430592B992E26787D0C46755D4FB\/S0022143020001161a.pdf\/div-class-title-determining-the-evolution-of-an-alpine-glacier-drainage-system-by-solving-inverse-problems-div.pdf\">application to the seasonal evolution of the a real alpine glacier<\/a>.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1213\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-120825.jpg\" alt=\"\" width=\"586\" height=\"241\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-120825.jpg 921w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-120825-300x123.jpg 300w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-120825-768x316.jpg 768w\" sizes=\"auto, (max-width: 586px) 100vw, 586px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/www.researchgate.net\/profile\/Juan-Carlos-Castilla-Rho\/publication\/281210197_An_agent-based_platform_for_simulating_complex_human-aquifer_interactions_in_managed_groundwater_systems\/links\/5a4c3bbd0f7e9b8284c2f3bb\/An-agent-based-platform-for-simulating-complex-human-aquifer-interactions-in-managed-groundwater-systems.pdf\">Agent-based models for water resources management<\/a>,\u00a0 <a href=\"https:\/\/www.nature.com\/articles\/s41562-017-0181-7\">their use to incorporate social dynamics<\/a>, and to investigate <a href=\"https:\/\/www.sciencedirect.com\/science\/article\/pii\/S0959378018307301\">the timing of such dynamics<\/a>.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-84\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image001-287x300.png\" alt=\"\" width=\"397\" height=\"415\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image001-287x300.png 287w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image001-768x803.png 768w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image001-980x1024.png 980w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image001-210x220.png 210w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image001.png 1148w\" sizes=\"auto, (max-width: 397px) 100vw, 397px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/li2016.pdf\">Multiple-point simulation using graph cuts<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-89\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/graphcuts-300x150.png\" alt=\"\" width=\"448\" height=\"224\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/graphcuts-300x150.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/graphcuts-768x384.png 768w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/graphcuts-440x220.png 440w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/graphcuts.png 907w\" sizes=\"auto, (max-width: 448px) 100vw, 448px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/hasan2016a.pdf\">Fusion of radar and rain gauge data<\/a> (and <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/hasan2016b.pdf\">combining data more in general<\/a>)<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-74\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image062-298x300.png\" alt=\"\" width=\"360\" height=\"362\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image062-298x300.png 298w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image062-150x150.png 150w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image062-90x90.png 90w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image062-218x220.png 218w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image062.png 671w\" sizes=\"auto, (max-width: 360px) 100vw, 360px\" \/><\/p>\n<hr \/>\n<p>Space-time rainfall simulation: a <a href=\"https:\/\/wires.onlinelibrary.wiley.com\/doi\/abs\/10.1002\/wat2.1199\">review<\/a>, a <a href=\"https:\/\/agupubs.onlinelibrary.wiley.com\/doi\/pdfdirect\/10.1029\/2018WR022817\">new model<\/a> for very high resolution rainfall, also for <a href=\"https:\/\/hess.copernicus.org\/articles\/22\/5919\/2018\/\">different rain types<\/a> and for <a href=\"https:\/\/agupubs.onlinelibrary.wiley.com\/doi\/abs\/10.1029\/2020WR027899\">assimilating radar data<\/a>.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-69\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image004-300x198.png\" alt=\"\" width=\"442\" height=\"292\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image004-300x198.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image004-768x507.png 768w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image004-333x220.png 333w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image004.png 962w\" sizes=\"auto, (max-width: 442px) 100vw, 442px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/abdollahifard2016b.pdf\">Optimal sampling design aided by training images<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-81\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image006-300x281.png\" alt=\"\" width=\"309\" height=\"289\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image006-300x281.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image006-235x220.png 235w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image006.png 402w\" sizes=\"auto, (max-width: 309px) 100vw, 309px\" \/><\/p>\n<hr \/>\n<p>Making multiple-point simulations more usable: <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/straubhaar2016.pdf\">block constraints<\/a>, imposing <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2015b.pdf\">proportions and trends<\/a>, and the interactive <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/straubhaar2018.pdf\">edition of training images<\/a>.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1195\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-181705.jpg\" alt=\"\" width=\"389\" height=\"224\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-181705.jpg 704w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-24-181705-300x173.jpg 300w\" sizes=\"auto, (max-width: 389px) 100vw, 389px\" \/><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-85\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image005-300x226.png\" alt=\"\" width=\"351\" height=\"264\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image005-300x226.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image005-768x578.png 768w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image005-1024x770.png 1024w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image005-292x220.png 292w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image005.png 1364w\" sizes=\"auto, (max-width: 351px) 100vw, 351px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/zahner2016.pdf\">Graph cuts for efficient geostatistical inversion<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-78\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image058-300x216.png\" alt=\"\" width=\"401\" height=\"289\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image058-300x216.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image058-768x554.png 768w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image058-305x220.png 305w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image058.png 789w\" sizes=\"auto, (max-width: 401px) 100vw, 401px\" \/><\/p>\n<hr \/>\n<p>The use of Lidar for the identification of cave <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mahmud2015b.pdf\">morphological features<\/a>, the quantification of <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mahmud2016a.pdf\">relationships between cave morphology and water percolation<\/a>, the identification of <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mahmud2018.pdf\">different drip types in caves<\/a>, and <a href=\"https:\/\/gi.copernicus.org\/articles\/9\/385\/2020\/\">a low-cost Lidar system<\/a> so that everyone can have fun in caves.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-1224\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/gi-9-385-2020-avatar-web.png\" alt=\"\" width=\"600\" height=\"309\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/gi-9-385-2020-avatar-web.png 600w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/gi-9-385-2020-avatar-web-300x155.png 300w\" sizes=\"auto, (max-width: 600px) 100vw, 600px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mahmud2015.pdf\">Multiscale MPS modeling<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-91\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image084-300x172.gif\" alt=\"\" width=\"399\" height=\"229\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image084-300x172.gif 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image084-384x220.gif 384w\" sizes=\"auto, (max-width: 399px) 100vw, 399px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2014b.pdf\">Stochastic simulation of meandering structures with satellite-based analogs<\/a><\/p>\n<p>And some cool animations\u00a0<a href=\"https:\/\/www.youtube.com\/watch?v=oLN9N55Gztk\">here<\/a> and <a href=\"https:\/\/www.youtube.com\/watch?v=ZXikjH0JznU\">here<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-93\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image088-300x170.gif\" alt=\"\" width=\"379\" height=\"215\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2014a.pdf\">Texture synthesis algorithms<\/a> \u2013 including <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mahmud2014.pdf\">Image Quilting<\/a> &#8211; see more on image quilting\u00a0<a href=\"https:\/\/wp.unil.ch\/gaia\/mps\/iq\/\">here.<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-94\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image091.gif\" alt=\"\" width=\"164\" height=\"158\" \/><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-95\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image094-300x142.gif\" alt=\"\" width=\"387\" height=\"183\" \/><\/p>\n<hr \/>\n<p>Automatic selection of training images for MPS: <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/perez2014.pdf\">Validation of training images by patterns comparison<\/a> for training image selection (Download the <a href=\"https:\/\/github.com\/GAIA-UNIL\/MPS_patterns_validation\" target=\"_blank\" rel=\"noopener noreferrer\">Fortran code<\/a>), and an <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/abdollahifard2019.pdf\">improved approach<\/a> using image analysis.<\/p>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/Baninajar2019.pdf\">Automatic parameterization<\/a> of MPS algorithms:<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone  wp-image-1216\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-121429.jpg\" alt=\"\" width=\"467\" height=\"144\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-121429.jpg 819w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-121429-300x93.jpg 300w, https:\/\/wp.unil.ch\/gaia\/files\/2022\/08\/Screenshot-2022-08-26-121429-768x237.jpg 768w\" sizes=\"auto, (max-width: 467px) 100vw, 467px\" \/><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-92\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image086.gif\" alt=\"\" width=\"307\" height=\"184\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/meerschman2013b_proof.pdf\">Probabilistic mapping of buried soil features<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-96\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image097-300x136.gif\" alt=\"\" width=\"393\" height=\"178\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/castilla2014_proof.pdf\">Reconstruction of buried paleovalleys<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-77\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image025-300x124.png\" alt=\"\" width=\"399\" height=\"165\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image025-300x124.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image025-768x317.png 768w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image025-533x220.png 533w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image025.png 953w\" sizes=\"auto, (max-width: 399px) 100vw, 399px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/jha2013b_proof.pdf\">River bathymetry modeling<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-76\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image027-300x255.png\" alt=\"\" width=\"339\" height=\"288\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image027-300x255.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image027-259x220.png 259w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image027.png 582w\" sizes=\"auto, (max-width: 339px) 100vw, 339px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2012b.pdf\">Remote sensing spatio-temporal gaps reconstruction<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-75\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image031-300x194.png\" alt=\"\" width=\"396\" height=\"256\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image031-300x194.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image031-340x220.png 340w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image031.png 561w\" sizes=\"auto, (max-width: 396px) 100vw, 396px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2012c.pdf\">Percolation processes in karst environments and chaotic behavior<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-97\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image102.gif\" alt=\"\" width=\"328\" height=\"314\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2011a.pdf\">Transform-invariant distances<\/a> \u2013 with <a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/jha2014.pdf\">applications to subsurface models<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-105\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/transform-300x243.png\" alt=\"\" width=\"386\" height=\"313\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/transform-300x243.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/transform-768x623.png 768w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/transform-1024x830.png 1024w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/transform-271x220.png 271w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/transform.png 1311w\" sizes=\"auto, (max-width: 386px) 100vw, 386px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2010f.pdf\">Spatial inverse problems: Iterative Spatial Resampling<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-99\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image109-300x237.jpg\" alt=\"\" width=\"391\" height=\"309\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image109-300x237.jpg 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image109-278x220.jpg 278w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image109.jpg 355w\" sizes=\"auto, (max-width: 391px) 100vw, 391px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/wp.unil.ch\/gaia\/mps\/ds\/\">Direct Sampling multiple-point simulation<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-100\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image110-300x129.jpg\" alt=\"\" width=\"395\" height=\"170\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image110-300x129.jpg 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image110.jpg 356w\" sizes=\"auto, (max-width: 395px) 100vw, 395px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2010a.pdf\">Image\/volume completion<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone size-full wp-image-87\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image051.png\" alt=\"\" width=\"272\" height=\"181\" \/><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone size-medium wp-image-66\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image053-300x178.png\" alt=\"\" width=\"300\" height=\"178\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image053-300x178.png 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image053-768x456.png 768w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image053-1024x608.png 1024w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image053-371x220.png 371w\" sizes=\"auto, (max-width: 300px) 100vw, 300px\" \/><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2009b.pdf\">Probability aggregation<\/a><\/p>\n<h4>Cosimulation by Probability aggregation<\/h4>\n<p>We propose a new cosimulation algorithm for simulating a primary attribute using one or several secondary attributes known exhaustively on the domain. This problem is frequently encountered in surface and groundwater hydrology when a variable of interest is measured only at a discrete number of locations and when the secondary variable is mapped by indirect techniques such as geophysics or remote sensing. In the proposed approach, the correlation between the two variables is modeled by a joint probability distribution function. A technique to construct such relation using underlying variables and physical laws is proposed when field data are insufficient. The simulation algorithm proceeds sequentially. At each location of the domain, two conditional probability distribution functions (cpdf) are inferred. The cpdf of the main attribute is inferred in a classical way from the neighboring data and a model of spatial variability. The second cpdf is inferred directly from the joint probability distribution function of the two attributes and the value of the secondary attribute at the location to be simulated. The two distribution functions are combined by probability aggregation to obtain the local cpdf from which a value for the primary attribute is randomly drawn. Various examples using synthetic and remote sensing data demonstrates that the method is more accurate than the classical collocated cosimulation technique when a complex relation relates the two attributes.<\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-107\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image114-300x163.gif\" alt=\"\" width=\"390\" height=\"212\" \/><\/p>\n<p><strong>Ressources<\/strong><\/p>\n<p>Powerpoint presentation: <strong><a href=\"https:\/\/github.com\/gregoiremariethoz\/presentations\/blob\/master\/Mariethoz_cosimul_proba_aggregation.ppt\">Mariethoz_cosimul_proba_aggregation.ppt<\/a><\/strong><\/p>\n<p><strong>References<\/strong><strong><br \/>\nMariethoz Gr\u00e9goire<\/strong>, Renard Philippe, Roland Froidevaux, 2009. <em>Integrating auxiliary parameters in geostatistical simulations using probability aggregation<\/em>. Water resources Research 45(W08421), doi:10.1029\/2008WR007408. <strong><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2009b.pdf\">mariethoz2009b.pdf<\/a><\/strong><\/p>\n<hr \/>\n<p><a href=\"https:\/\/github.com\/gregoiremariethoz\/papers\/blob\/master\/mariethoz2009a.pdf\">Plurigaussian simulations<\/a><\/p>\n<p><img alt=\"\" loading=\"lazy\" decoding=\"async\" class=\"alignnone wp-image-108\" src=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image115-300x150.jpg\" alt=\"\" width=\"388\" height=\"194\" srcset=\"https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image115-300x150.jpg 300w, https:\/\/wp.unil.ch\/gaia\/files\/2017\/12\/image115.jpg 310w\" sizes=\"auto, (max-width: 388px) 100vw, 388px\" \/><\/p>\n","protected":false},"excerpt":{"rendered":"<p>One of our main research areas is related to Multiple-Point Statistics, and here is a list of references related to MPS. Please check out the book that will tell you everything you always wanted to know about MPS, which is published with Wiley. Below is a (incomplete and not up-to-date) list of some recent and &hellip; <\/p>\n<p class=\"link-more\"><a href=\"https:\/\/wp.unil.ch\/gaia\/research\/\" class=\"more-link\">Continue reading<span class=\"screen-reader-text\"> &#8220;Research&#8221;<\/span><\/a><\/p>\n","protected":false},"author":1001689,"featured_media":0,"parent":0,"menu_order":3,"comment_status":"closed","ping_status":"closed","template":"page-templates\/full-width-page.php","meta":{"_seopress_robots_primary_cat":"","_seopress_titles_title":"","_seopress_titles_desc":"","_seopress_robots_index":"","footnotes":""},"class_list":["post-52","page","type-page","status-publish"],"_links":{"self":[{"href":"https:\/\/wp.unil.ch\/gaia\/wp-json\/wp\/v2\/pages\/52","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/wp.unil.ch\/gaia\/wp-json\/wp\/v2\/pages"}],"about":[{"href":"https:\/\/wp.unil.ch\/gaia\/wp-json\/wp\/v2\/types\/page"}],"author":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/gaia\/wp-json\/wp\/v2\/users\/1001689"}],"replies":[{"embeddable":true,"href":"https:\/\/wp.unil.ch\/gaia\/wp-json\/wp\/v2\/comments?post=52"}],"version-history":[{"count":0,"href":"https:\/\/wp.unil.ch\/gaia\/wp-json\/wp\/v2\/pages\/52\/revisions"}],"wp:attachment":[{"href":"https:\/\/wp.unil.ch\/gaia\/wp-json\/wp\/v2\/media?parent=52"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}