{"id":"https://openalex.org/W7154248813","doi":"https://doi.org/10.48550/arxiv.2604.10414","title":"Neural Stochastic Processes for Satellite Precipitation Refinement","display_name":"Neural Stochastic Processes for Satellite Precipitation Refinement","publication_year":2026,"publication_date":"2026-04-12","ids":{"openalex":"https://openalex.org/W7154248813","doi":"https://doi.org/10.48550/arxiv.2604.10414"},"language":null,"primary_location":{"id":"doi:10.48550/arxiv.2604.10414","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10414","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"type":"preprint","indexed_in":["datacite"],"open_access":{"is_oa":true,"oa_status":"green","oa_url":"https://doi.org/10.48550/arxiv.2604.10414","any_repository_has_fulltext":true},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5023168087","display_name":"Shunya Nagashima","orcid":"https://orcid.org/0009-0007-9741-7628"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Nagashima, Shunya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5067505419","display_name":"Takumi Bannai","orcid":"https://orcid.org/0000-0002-6827-488X"},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Bannai, Takumi","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5125229814","display_name":"Shuitsu Koyama","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Koyama, Shuitsu","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"middle","author":{"id":"https://openalex.org/A5075631923","display_name":"Tomoya Mitsui","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Mitsui, Tomoya","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]},{"author_position":"last","author":{"id":"https://openalex.org/A5000913125","display_name":"Shuntaro Suzuki","orcid":null},"institutions":[],"countries":[],"is_corresponding":false,"raw_author_name":"Suzuki, Shuntaro","raw_affiliation_strings":[],"raw_orcid":null,"affiliations":[]}],"institutions":[],"countries_distinct_count":0,"institutions_distinct_count":0,"corresponding_author_ids":[],"corresponding_institution_ids":[],"apc_list":null,"apc_paid":null,"fwci":null,"has_fulltext":false,"cited_by_count":0,"citation_normalized_percentile":null,"cited_by_percentile_year":null,"biblio":{"volume":null,"issue":null,"first_page":null,"last_page":null},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.7609999775886536,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11234","display_name":"Precipitation Measurement and Analysis","score":0.7609999775886536,"subfield":{"id":"https://openalex.org/subfields/1902","display_name":"Atmospheric Science"},"field":{"id":"https://openalex.org/fields/19","display_name":"Earth and Planetary Sciences"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10930","display_name":"Flood Risk Assessment and Management","score":0.06509999930858612,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T11186","display_name":"Hydrology and Drought Analysis","score":0.02979999966919422,"subfield":{"id":"https://openalex.org/subfields/2306","display_name":"Global and Planetary Change"},"field":{"id":"https://openalex.org/fields/23","display_name":"Environmental Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/satellite","display_name":"Satellite","score":0.664900004863739},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.626800000667572},{"id":"https://openalex.org/keywords/precipitation","display_name":"Precipitation","score":0.6190000176429749},{"id":"https://openalex.org/keywords/generalization","display_name":"Generalization","score":0.5317999720573425},{"id":"https://openalex.org/keywords/calibration","display_name":"Calibration","score":0.45080000162124634},{"id":"https://openalex.org/keywords/quantitative-precipitation-estimation","display_name":"Quantitative precipitation estimation","score":0.4339999854564667},{"id":"https://openalex.org/keywords/process","display_name":"Process (computing)","score":0.42500001192092896},{"id":"https://openalex.org/keywords/artificial-neural-network","display_name":"Artificial neural network","score":0.40470001101493835},{"id":"https://openalex.org/keywords/gauge","display_name":"Gauge (firearms)","score":0.3635999858379364}],"concepts":[{"id":"https://openalex.org/C19269812","wikidata":"https://www.wikidata.org/wiki/Q26540","display_name":"Satellite","level":2,"score":0.664900004863739},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.626800000667572},{"id":"https://openalex.org/C107054158","wikidata":"https://www.wikidata.org/wiki/Q25257","display_name":"Precipitation","level":2,"score":0.6190000176429749},{"id":"https://openalex.org/C177148314","wikidata":"https://www.wikidata.org/wiki/Q170084","display_name":"Generalization","level":2,"score":0.5317999720573425},{"id":"https://openalex.org/C153294291","wikidata":"https://www.wikidata.org/wiki/Q25261","display_name":"Meteorology","level":1,"score":0.49309998750686646},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.4691999852657318},{"id":"https://openalex.org/C165838908","wikidata":"https://www.wikidata.org/wiki/Q736777","display_name":"Calibration","level":2,"score":0.45080000162124634},{"id":"https://openalex.org/C62649853","wikidata":"https://www.wikidata.org/wiki/Q199687","display_name":"Remote sensing","level":1,"score":0.4498000144958496},{"id":"https://openalex.org/C75398719","wikidata":"https://www.wikidata.org/wiki/Q7268938","display_name":"Quantitative precipitation estimation","level":3,"score":0.4339999854564667},{"id":"https://openalex.org/C98045186","wikidata":"https://www.wikidata.org/wiki/Q205663","display_name":"Process (computing)","level":2,"score":0.42500001192092896},{"id":"https://openalex.org/C39432304","wikidata":"https://www.wikidata.org/wiki/Q188847","display_name":"Environmental science","level":0,"score":0.4172999858856201},{"id":"https://openalex.org/C50644808","wikidata":"https://www.wikidata.org/wiki/Q192776","display_name":"Artificial neural network","level":2,"score":0.40470001101493835},{"id":"https://openalex.org/C40976572","wikidata":"https://www.wikidata.org/wiki/Q2330873","display_name":"Gauge (firearms)","level":2,"score":0.3635999858379364},{"id":"https://openalex.org/C141353440","wikidata":"https://www.wikidata.org/wiki/Q182221","display_name":"Fuse (electrical)","level":2,"score":0.3546999990940094},{"id":"https://openalex.org/C13662910","wikidata":"https://www.wikidata.org/wiki/Q193139","display_name":"Trajectory","level":2,"score":0.3418999910354614},{"id":"https://openalex.org/C120961793","wikidata":"https://www.wikidata.org/wiki/Q190052","display_name":"Rain gauge","level":3,"score":0.3391000032424927},{"id":"https://openalex.org/C124101348","wikidata":"https://www.wikidata.org/wiki/Q172491","display_name":"Data mining","level":1,"score":0.33469998836517334},{"id":"https://openalex.org/C74256435","wikidata":"https://www.wikidata.org/wiki/Q134052","display_name":"Flood myth","level":2,"score":0.3314000070095062},{"id":"https://openalex.org/C2776359362","wikidata":"https://www.wikidata.org/wiki/Q2145286","display_name":"Representation (politics)","level":3,"score":0.32519999146461487},{"id":"https://openalex.org/C28719098","wikidata":"https://www.wikidata.org/wiki/Q44946","display_name":"Point (geometry)","level":2,"score":0.3165999948978424},{"id":"https://openalex.org/C11413529","wikidata":"https://www.wikidata.org/wiki/Q8366","display_name":"Algorithm","level":1,"score":0.2957000136375427},{"id":"https://openalex.org/C206345919","wikidata":"https://www.wikidata.org/wiki/Q20380951","display_name":"Resource (disambiguation)","level":2,"score":0.27730000019073486},{"id":"https://openalex.org/C137800194","wikidata":"https://www.wikidata.org/wiki/Q11713455","display_name":"Interpolation (computer graphics)","level":3,"score":0.27619999647140503},{"id":"https://openalex.org/C127491075","wikidata":"https://www.wikidata.org/wiki/Q7617825","display_name":"Stochastic modelling","level":2,"score":0.2759999930858612},{"id":"https://openalex.org/C75553542","wikidata":"https://www.wikidata.org/wiki/Q178161","display_name":"A priori and a posteriori","level":2,"score":0.265500009059906},{"id":"https://openalex.org/C60229501","wikidata":"https://www.wikidata.org/wiki/Q18822","display_name":"Global Positioning System","level":2,"score":0.2596000134944916},{"id":"https://openalex.org/C8272713","wikidata":"https://www.wikidata.org/wiki/Q176737","display_name":"Stochastic process","level":2,"score":0.25040000677108765}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.48550/arxiv.2604.10414","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10414","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":null,"raw_source_name":null,"raw_type":"Preprint"}],"best_oa_location":{"id":"doi:10.48550/arxiv.2604.10414","is_oa":true,"landing_page_url":"https://doi.org/10.48550/arxiv.2604.10414","pdf_url":null,"source":{"id":"https://openalex.org/S4306400194","display_name":"arXiv (Cornell University)","issn_l":"2331-8422","issn":["2331-8422"],"is_oa":true,"is_in_doaj":false,"is_core":false,"host_organization":"https://openalex.org/I205783295","host_organization_name":"Cornell University","host_organization_lineage":["https://openalex.org/I205783295"],"host_organization_lineage_names":[],"type":"repository"},"license":null,"license_id":null,"version":null,"is_accepted":false,"is_published":false,"raw_source_name":null,"raw_type":"Preprint"},"sustainable_development_goals":[{"score":0.47998034954071045,"id":"https://metadata.un.org/sdg/6","display_name":"Clean water and sanitation"}],"awards":[],"funders":[],"has_content":{"grobid_xml":false,"pdf":false},"content_urls":null,"referenced_works_count":0,"referenced_works":[],"related_works":[],"abstract_inverted_index":{"Accurate":[0],"precipitation":[1,63],"estimation":[2],"is":[3,97],"critical":[4],"for":[5,34],"flood":[6],"forecasting,":[7],"water":[8],"resource":[9],"management,":[10],"and":[11,57,128,142],"disaster":[12],"preparedness.":[13],"Satellite":[14],"products":[15],"provide":[16],"global":[17],"hourly":[18,115],"coverage":[19],"but":[20,31,51],"contain":[21],"systematic":[22],"biases;":[23],"ground-based":[24],"gauges":[25],"are":[26],"accurate":[27],"at":[28],"point":[29],"locations":[30],"too":[32],"sparse":[33],"direct":[35],"gridded":[36],"correction.":[37],"Existing":[38],"methods":[39],"fuse":[40],"these":[41],"sources":[42,127],"by":[43],"interpolating":[44],"gauge":[45,84],"observations":[46,85],"onto":[47],"the":[48,118],"satellite":[49],"grid,":[50],"treat":[52],"each":[53],"time":[54],"step":[55],"independently":[56],"therefore":[58],"discard":[59],"temporal":[60],"structure":[61],"in":[62],"fields.":[64],"We":[65,107],"propose":[66],"Neural":[67,76,89],"Stochastic":[68],"Process":[69,77],"(NSP),":[70],"a":[71,75,87,92,100,111,157],"model":[72],"that":[73],"pairs":[74],"encoder":[78],"conditioning":[79],"on":[80,91,151],"arbitrary":[81],"sets":[82],"of":[83,113],"with":[86,104,123,160],"latent":[88],"SDE":[90],"2D":[93],"spatial":[94],"representation.":[95],"NSP":[96,134],"trained":[98],"under":[99],"single":[101],"variational":[102],"objective":[103],"simulation-free":[105],"cost.":[106],"also":[108],"introduce":[109],"QPEBench,":[110,133],"benchmark":[112],"43{,}756":[114],"samples":[116],"over":[117],"Contiguous":[119],"United":[120],"States":[121],"(2021--2025)":[122],"four":[124],"aligned":[125],"data":[126,162],"six":[129,140],"evaluation":[130],"metrics.":[131],"On":[132],"outperforms":[135],"13":[136],"baselines":[137],"across":[138],"all":[139],"metrics":[141],"surpasses":[143],"JAXA's":[144],"operational":[145],"gauge-calibrated":[146],"product.":[147],"An":[148],"additional":[149],"experiment":[150],"Kyushu,":[152],"Japan":[153],"confirms":[154],"generalization":[155],"to":[156],"different":[158],"region":[159],"independent":[161],"sources.":[163]},"counts_by_year":[],"updated_date":"2026-07-28T07:46:37.118299","created_date":"2026-04-15T00:00:00"}