The DOI matches its Crossref record; 1 of the 1 references it cites were found in a registry or an index.
2012 Midwest Drought in the United States
Abstract
The 2012 North American drought may be the costliest and one of the most widespread natural disasters in U.S. history [USDA Economic Research Service (USDA-ERS) 2012]. While several states across the United States were experiencing drought conditions to varying degrees of severity, the Midwest and Northern Plains were perhaps the most affected. The drought severely impacted agricultural activities across the United States, particularly corn and soybean crops, prompting federal agencies including U.S. Department of Agriculture to declare disaster areas (USDA 2012b) and to provide assistance to those affected by this calamity. This paper utilizes existing and new techniques to provide insights into the severity of the 2012 Midwest drought and its impacts over the region.
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
Drought under global warming: a review
Dai, A. (2011) · WIREs Climate Change · doi:10.1002/wcc.81 · Cited by 3,523 · cited 1×
“Detailed reviews of different indexes used to characterize droughts are available in the literature (Dracup et al. 1980; Heim 2002; Mishra and Singh 2010; Dai 2011).”
Background
Cited by
Fisher, J. B., Melton, F., Middleton, E., Hain, C., Anderson, M., Allen, R., McCabe, M. F., Hook, S., Baldocchi, D., Townsend, P. A., et al. (2017) · Water Resources Research · doi:10.1002/2016wr020175 · Cited by 991
Long‐term yields in annual and perennial bioenergy crops in the Midwestern United States
Kantola, I. B., Masters, M. D., Blanc‐Betes, E., Gomez‐Casanovas, N., & DeLucia, E. H. (2022) · GCB Bioenergy · doi:10.1111/gcbb.12940 · Cited by 42
Metadata
- Authors
- Mallya, G., Zhao, L., Song, X. C., Niyogi, D., & Govindaraju, R. S.
- Venue
- Journal of Hydrologic Engineering
- Published
- 2013-07
- Volume
- 18
- Issue
- 7
- Pages
- 737-745
- ISSN
- 1084-0699 (ISSN-L)
- 1943-5584
- OpenAlex
- W2080015722
- Cited by
- 162
- References
- 1
- FWCI
- 8.81
- Type
- journal article
- Language
- en
- Open access
- closed
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: 2012 Midwest Drought in the United States. https://app.cochat.ai/papers/10.1061/(asce)he.1943-5584.0000786
- The paper
- Mallya, G., Zhao, L., Song, X. C., Niyogi, D., & Govindaraju, R. S. (2013). 2012 Midwest Drought in the United States. Journal of Hydrologic Engineering. https://doi.org/10.1061/(asce)he.1943-5584.0000786
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.
