The DOI matches its Crossref record.
Generating surfaces of daily meteorological variables over large regions of complex terrain
Overview
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Integrity signals
Registry
Cites
Statistics
Verification
Claims the paper makes
The claims and statistics of this paper haven’t been checked yet.
Run the check — free, no account needed. It reads the open-access text and checks the sources it cites.
Self-check
Percentages, sums and reported differences re-computed from the paper’s own numbers.
The self-check needs the paper’s full text.
Citations
Cites
No references could be resolved yet.
Research works printed but not linked: 37
- Band, 1991, Forest ecosystem processes at the watershed scale: basis for distributed simulation, Ecol. Modelling, 56, 171, 10.1016/0304-3800(91)90199-B · DOI · Paper page
- Band, 1993, Forest ecosystem processes at the watershed scale: incorporating hillslope hydrology, Agric. For. Meteorol., 63, 93, 10.1016/0168-1923(93)90024-C · DOI · Paper page
- Bristow, 1984, On the relationship between incoming solar radiation and daily maximum and minimum temperature, Agric. For. Meteorol., 31, 159, 10.1016/0168-1923(84)90017-0 · DOI · Paper page
- Chua, 1982, Optimal estimators of mean areal precipitation in regions of orographic influence, J. Hydrol., 57, 23, 10.1016/0022-1694(82)90101-9 · doi:10.1016/0022-1694(82)90101-9
- Creutin, 1982, Objective analyses and mapping techniques for rainfall fields: an objective comparison, Water Resour. Res., 18, 413, 10.1029/WR018i002p00413 · DOI · Paper page
- Daly, 1994, A statistical-topographic model for mapping climatological precipitation over mountainous terrain, J. Appl. Meteorol., 33, 140, 10.1175/1520-0450(1994)033<0140:ASTMFM>2.0.CO;2 · DOI · Paper page
- DeGaetano, 1995, A method to estimate missing daily maximum and minimum temperature observations, J. Appl. Meteorol., 34, 371, 10.1175/1520-0450-34.2.371 · DOI
- Dolph, 1992, Characterizing the distribution of observed precipitation and runoff over the continental United States, Climatic Change, 22, 99, 10.1007/BF00142961 · doi:10.1007/bf00142961
- Eagleson, 1986, The emergence of global-scale hydrology, Water Resour. Res., 22, 6S, 10.1029/WR022i09Sp0006S · DOI
- Forsythe, 1995, A model comparison for daylength as a function of latitude and day of year, Ecol. Modelling, 80, 87, 10.1016/0304-3800(94)00034-F · DOI · Paper page
- Glassy, 1994, Validating diurnal climatology logic of the MT-CLIM model across a climatic gradient in Oregon, Ecol. Appl., 4, 248, 10.2307/1941931 · doi:10.2307/1941931
- Hayden, 1995, Recursive filter analysis of meteorological fields: applications to NESDIS operational processing, J. Appl. Meteorol., 34, 3, 10.1175/1520-0450-34.1.3 · DOI
- Hevesi, 1992, Precipitation estimation in mountainous terrain using multivariate geostatistics. Part I: Structural analysis, J. Appl. Meteorol., 31, 661, 10.1175/1520-0450(1992)031<0661:PEIMTU>2.0.CO;2 · DOI · Paper page
- Hungerford, 1989, MTCLIM: a mountain microclimate simulation model, US For. Serv. Res. Pap. INT-414
- Hutchinson, 1995, Stochastic space-time weather models from ground-based data, Agric. For. Meteorol., 73, 237, 10.1016/0168-1923(94)05077-J · DOI
- Hutchinson, 1983, A new method for estimating the spatial distribution of mean seasonal and annual rainfall applied to the Hunter Valley, New South Wales, Aust. Meteorol. Mag., 31, 179
- Kimball, 1997, An improved method for estimating surface humidity from daily minimum temperature, Agric. For. Meteorol., 10.1016/S0168-1923(96)02366-0 · DOI · Paper page
- McMurtrie, 1992, A model of canopy photosynthesis and water use incorporating a mechanistic formulation of leaf CO2 exchange, For. Ecol. Manage., 52, 261, 10.1016/0378-1127(92)90505-4 · doi:10.1016/0378-1127(92)90505-4
- Murray, 1967, On the computation of saturation vapor pressure, J. Appl. Meteorol., 6, 203, 10.1175/1520-0450(1967)006<0203:OTCOSV>2.0.CO;2 · DOI · Paper page
- Nemani, 1993, Forest ecosystem processes at the watershed scale: sensitivity to remotely sensed leaf area index observations, Int. J. Remote Sens., 14, 2519, 10.1080/01431169308904290 · DOI · Paper page
- Phillips, 1992, A comparison of geostatistical procedures for spatial analysis of precipitation in mountainous terrain, Agric. For. Meteorol., 58, 119, 10.1016/0168-1923(92)90114-J · DOI · Paper page
- Pielke, 1987, Use of a synoptic classification scheme to define systems, Theor. Appl. Climatol., 38, 57, 10.1007/BF00868418 · doi:10.1007/bf00868418
- Pielke, 1993, Atmosphere-terrestrial ecosystem interactions: implications for coupled modeling, Ecol. Modelling, 67, 5, 10.1016/0304-3800(93)90096-B · doi:10.1016/0304-3800(93)90096-b
- Reginato, 1985, Evapotranspiration calculated from remote multispectral and ground station meteorological data, Remote Sens. Environ., 18, 75, 10.1016/0034-4257(85)90039-2 · doi:10.1016/0034-4257(85)90039-2
- Running, 1994, Testing FOREST-BGC ecosystem process simulations across a climatic gradient in Oregon, Ecol. Appl., 4, 238, 10.2307/1941930 · DOI
- Running, 1988, A general model of forest ecosystem processes for regional applications. I. Hydrologic balance, canopy gas exchange, and primary production processes, Ecol. Modelling, 42, 125, 10.1016/0304-3800(88)90112-3 · DOI · Paper page
- Running, 1991, Regional hydrologic and carbon balance responses of forests resulting from potential climate change, Climatic Change, 19, 349, 10.1007/BF00151173 · doi:10.1007/bf00151173
- Running, 1987, Extrapolation of synoptic meteorological data in mountainous terrain and its use for simulating forest evapotranspiration and photosynthesis, Can. J. For. Res., 17, 472, 10.1139/x87-081 · DOI · Paper page
- Saha, 1995, Assessment of regional soil moisture conditions by coupling satellite sensor data with a soil-plant system heat and moisture balance model, Int. J. Remote Sens., 16, 973, 10.1080/01431169508954456 · doi:10.1080/01431169508954456
- Seguin, 1994, Surface temperature and evapotranspiration: application of local scale methods to regional scales using satellite data, Remote Sens. Environ., 49, 287, 10.1016/0034-4257(94)90023-X · doi:10.1016/0034-4257(94)90023-x
- Shuttleworth, 1988, Macrohydrology—the new challenge for process hydrology, J. Hydrol., 100, 31, 10.1016/0022-1694(88)90180-1 · doi:10.1016/0022-1694(88)90180-1
- Tabios, 1985, A comparative analysis of techniques for spatial interpolation of precipitation, Water Resour. Bull., 21, 365, 10.1111/j.1752-1688.1985.tb00147.x · DOI · Paper page
- Thiessen, 1911, Precipitation averages for large areas, Mon. Weather Rev., 39, 1082, 10.1175/1520-0493(1911)39<1082b:PAFLA>2.0.CO;2 · DOI · Paper page
- Troch, 1993, Evaluation of a distributed catchment scale water balance model, Water Resour. Res., 29, 1805, 10.1029/93WR00398 · DOI
- Wallis, 1995, An assessment of the weather generator (WXGEN) used in the erosion/productivity impact calculator (EPIC), Agric. For. Meteorol., 73, 115, 10.1016/0168-1923(94)02172-G · doi:10.1016/0168-1923(94)02172-g
- White, 1994, Testing scale dependent assumptions in regional ecosystem simulations, J. Veg. Sci., 5, 687, 10.2307/3235883 · DOI
- Willmott, 1995, Climatologically aided interpolation (CAI) of terrestrial air temperature, Int. J. Climatol., 15, 221, 10.1002/joc.3370150207 · DOI · Paper page
Cited by
Very high resolution interpolated climate surfaces for global land areas
Hijmans, R. J., Cameron, S. E., Parra, J. L., Jones, P. G., & Jarvis, A. (2005) · International Journal of Climatology · doi:10.1002/joc.1276 · Cited by 19,825
Novel methods improve prediction of species’ distributions from occurrence data
Elith*, J., H. Graham*, C., P. Anderson, R., Dudík, M., Ferrier, S., Guisan, A., J. Hijmans, R., Huettmann, F., R. Leathwick, J., Lehmann, A., et al. (2006) · Ecography · doi:10.1111/j.2006.0906-7590.04596.x · Cited by 9,088
Predictive habitat distribution models in ecology
Guisan, A., & Zimmermann, N. E. (2000) · Ecological Modelling · doi:10.1016/s0304-3800(00)00354-9 · Cited by 7,359
Abatzoglou, J. T., Dobrowski, S. Z., Parks, S. A., & Hegewisch, K. C. (2018) · Scientific Data · doi:10.1038/sdata.2017.191 · Cited by 3,421
Guisan, A., Edwards, T. C., & Hastie, T. (2002) · Ecological Modelling · doi:10.1016/s0304-3800(02)00204-1 · Cited by 2,356
Metadata
- Authors
- Thornton, P. E., Running, S. W., & White, M. A.
- Venue
- Journal of Hydrology
- Publisher
- Elsevier BV
- Published
- 1997-03
- Volume
- 190
- Issue
- 3-4
- Pages
- 214-251
- ISSN
- 0022-1694 (ISSN-L)
- OpenAlex
- W2033481223
- Cited by
- 1,384
- References
- 0
- FWCI
- 8.24
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- www.elsevier.com/tdm/userlicense/1.0/ (tdm)
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
Are you an author, or do you see a problem with this page? Request a review
How to cite
Cite CoChat for the checks on this page, and the paper for its own findings.
- This page
- CoChat. (2026). Citation check: Generating surfaces of daily meteorological variables over large regions of complex terrain. https://app.cochat.ai/papers/10.1016/s0022-1694(96)03128-9
- The paper
- Thornton, P. E., Running, S. W., & White, M. A. (1997). Generating surfaces of daily meteorological variables over large regions of complex terrain. Journal of Hydrology. https://doi.org/10.1016/s0022-1694(96)03128-9
Data sources
Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.