The DOI matches its Crossref record; 36 of the 36 references it cites were found in a registry or an index.
Fine-scale hydrologic modeling for regional landscape applications: the California Basin Characterization Model development and performance
Open accessAbstract
Resource managers need spatially explicit models of hydrologic response to changes in key climatic drivers across variable landscape conditions. We demonstrate the utility of a Basin Characterization Model for California (CA-BCM) to integrate high-resolution data on physical watershed characteristics with historical or projected climate data to predict watershed-specific hydrologic responses. The CA-BCM applies a monthly regional water-balance model to simulate hydrologic responses to climate at the spatial resolution of a 270-m grid. The model has been calibrated using a total of 159 relatively unimpaired watersheds for the California region. As a result of calibration, predicted basin discharge closely matches measured data for validation watersheds. The CA-BCM recharge and runoff estimates, combined with estimates of snowpack and timing of snowmelt, provide a basis for assessing variations in water availability. Another important output variable, climatic water deficit , integrates the combined effects of temperature and rainfall on site-specific soil moisture, a factor that plants may respond to more directly than air temperature and precipitation alone. Model outputs are calculated for each grid cell, allowing results to be summarized for a variety of planning units including hillslopes, watersheds, ecoregions, or political boundaries. The ability to confidently calculate hydrologic outputs at fine spatial scales provides a new suite of hydrologic predictor variables that can be used for a variety of purposes, such as projections of changes in water availability, environmental demand, or distribution of plants and habitats. Here we present the framework of the CA-BCM model for the California hydrologic region, a test of model performance on 159 watersheds, summary results for the region for the 1981–2010 time period, and changes since the 1951–1980 time period.
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
River flow forecasting through conceptual models part I — A discussion of principles
Nash, J. E., & Sutcliffe, J. V. (1970) · Journal of Hydrology · doi:10.1016/0022-1694(70)90255-6 · Cited by 23,674
Ecological and Evolutionary Responses to Recent Climate Change
Parmesan, C. (2006) · Annual Review of Ecology, Evolution, and Systematics · doi:10.1146/annurev.ecolsys.37.091305.110100 · Cited by 8,652
Predicting species distribution: offering more than simple habitat models
Guisan, A., & Thuiller, W. (2005) · Ecology Letters · doi:10.1111/j.1461-0248.2005.00792.x · Cited by 6,587
On the Assessment of Surface Heat Flux and Evaporation Using Large-Scale Parameters
PRIESTLEY, C. H. B., & TAYLOR, R. J. (1972) · Monthly Weather Review · doi:10.1175/1520-0493(1972)100<0081:otaosh>2.3.co;2 · Cited by 6,574
Evaluating the use of “goodness‐of‐fit” Measures in hydrologic and hydroclimatic model validation
Legates, D. R., & McCabe, G. J. (1999) · Water Resources Research · doi:10.1029/1998wr900018 · Cited by 4,591
Liang, X., Lettenmaier, D. P., Wood, E. F., & Burges, S. J. (1994) · Journal of Geophysical Research: Atmospheres · doi:10.1029/94jd00483 · Cited by 4,051
Daly, C., Halbleib, M., Smith, J. I., Gibson, W. P., Doggett, M. K., Taylor, G. H., Curtis, J., & Pasteris, P. P. (2008) · International Journal of Climatology · doi:10.1002/joc.1688 · Cited by 3,100
The velocity of climate change
Loarie, S. R., Duffy, P. B., Hamilton, H., Asner, G. P., Field, C. B., & Ackerly, D. D. (2009) · Nature · doi:10.1038/nature08649 · Cited by 2,534
(1980) · Elsevier eBooks · doi:10.1016/c2009-0-03109-2 · Cited by 1,605
The Jepson Manual: Higher Plants of California.
Luteyn, J. L., & Hickman, J. C. (1993) · Brittonia · doi:10.2307/2807611 · Cited by 1,297
Cited by
Tree mortality predicted from drought-induced vascular damage
Anderegg, W. R. L., Flint, A., Huang, C.-Y., Flint, L., Berry, J. A., Davis, F. W., Sperry, J. S., & Field, C. B. (2015) · Nature Geoscience · doi:10.1038/ngeo2400 · Cited by 421
Self-citationCollapse of a desert bird community over the past century driven by climate change
Iknayan, K. J., & Beissinger, S. R. (2018) · Proceedings of the National Academy of Sciences · doi:10.1073/pnas.1805123115 · Cited by 264
Collins, B. M., Lydersen, J. M., Fry, D. L., Wilkin, K., Moody, T., & Stephens, S. L. (2016) · Forest Ecology and Management · doi:10.1016/j.foreco.2016.09.010 · Cited by 60
Metadata
- Authors
- Flint, L. E., Flint, A. L., Thorne, J. H., & Boynton, R.
- Venue
- Ecological Processes
- Published
- 2013-07-31
- Volume
- 2
- Issue
- 1
- ISSN
- 2097-1311 (ISSN-L)
- 2192-1709
- OpenAlex
- W2135732656
- Cited by
- 263
- References
- 36
- FWCI
- 13.97
- Type
- journal article
- Language
- en
- Open access
- gold
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: Fine-scale hydrologic modeling for regional landscape applications: the California Basin Characterization Model development and performance. https://app.cochat.ai/papers/10.1186/2192-1709-2-25
- The paper
- Flint, L. E., Flint, A. L., Thorne, J. H., & Boynton, R. (2013). Fine-scale hydrologic modeling for regional landscape applications: the California Basin Characterization Model development and performance. Ecological Processes. https://doi.org/10.1186/2192-1709-2-25
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.