Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance

Newman, A. J.; Clark, M. P.; Sampson, K.; Wood, A.; Hay, L. E.; Bock, A.; Viger, R. J.; Blodgett, D.; Brekke, L.; Arnold, J. R.; Hopson, T.; Duan, Q.

doi:https://doi.org/10.5194/hess-19-209-2015

Articles | Volume 19, issue 1

https://doi.org/10.5194/hess-19-209-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-19-209-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 19, issue 1

Research article

| Highlight paper

|

14 Jan 2015

Research article | Highlight paper |

| 14 Jan 2015

Development of a large-sample watershed-scale hydrometeorological data set for the contiguous USA: data set characteristics and assessment of regional variability in hydrologic model performance

A. J. Newman, M. P. Clark, K. Sampson, A. Wood, L. E. Hay, A. Bock, R. J. Viger, D. Blodgett, L. Brekke, J. R. Arnold, T. Hopson, and Q. Duan

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Month	HTML	PDF	XML	Total
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Jul 2014	40	27	2	69
Aug 2014	13	20	0	33
Sep 2014	10	23	1	34
Oct 2014	6	8	1	15
Nov 2014	7	18	0	25
Dec 2014	6	21	0	27
Jan 2015	326	143	5	474
Feb 2015	88	71	9	168
Mar 2015	74	65	2	141
Apr 2015	71	50	5	126
May 2015	33	43	1	77
Jun 2015	42	34	2	78
Jul 2015	51	35	2	88
Aug 2015	38	54	0	92
Sep 2015	23	44	1	68
Oct 2015	36	50	1	87
Nov 2015	52	54	0	106
Dec 2015	25	52	1	78
Jan 2016	52	49	0	101
Feb 2016	33	34	2	69
Mar 2016	37	43	15	95
Apr 2016	25	27	0	52
May 2016	36	30	1	67
Jun 2016	21	17	1	39
Jul 2016	18	7	4	29
Aug 2016	13	24	0	37
Sep 2016	16	16	2	34
Oct 2016	20	16	5	41
Nov 2016	15	8	7	30
Dec 2016	14	9	1	24
Jan 2017	26	9	3	38
Feb 2017	20	15	1	36
Mar 2017	43	19	5	67
Apr 2017	56	23	4	83
May 2017	63	28	5	96
Jun 2017	67	20	7	94
Jul 2017	34	19	1	54
Aug 2017	16	15	0	31
Sep 2017	16	13	0	29
Oct 2017	16	33	0	49
Nov 2017	31	36	0	67
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Jan 2018	28	35	1	64
Feb 2018	42	30	1	73
Mar 2018	31	34	0	65
Apr 2018	32	34	1	67
May 2018	37	36	2	75
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Jul 2018	21	33	0	54
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Oct 2018	41	47	1	89
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Dec 2018	25	27	1	53
Jan 2019	22	33	0	55
Feb 2019	16	17	0	33
Mar 2019	43	40	0	83
Apr 2019	60	38	0	98
May 2019	61	99	0	160
Jun 2019	54	93	0	147
Jul 2019	73	116	0	189
Aug 2019	60	63	0	123
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Oct 2019	76	37	3	116
Nov 2019	63	35	1	99
Dec 2019	59	51	1	111
Jan 2020	65	31	1	97
Feb 2020	54	24	1	79
Mar 2020	72	28	1	101
Apr 2020	82	28	0	110
May 2020	101	26	0	127
Jun 2020	70	14	0	84
Jul 2020	75	28	11	114
Aug 2020	107	41	7	155
Sep 2020	132	37	0	169
Oct 2020	87	35	2	124
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Apr 2022	137	51	7	195
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Jul 2022	129	47	8	184
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Oct 2022	131	68	4	203
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Jan 2023	136	54	3	193
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Mar 2023	211	80	7	298
Apr 2023	160	78	5	243
May 2023	158	75	6	239
Jun 2023	161	90	5	256
Jul 2023	163	63	7	233
Aug 2023	154	73	4	231
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Oct 2023	252	101	4	357
Nov 2023	123	40	0	163
Dec 2023	108	41	5	154
Jan 2024	148	64	1	213
Feb 2024	112	60	1	173
Mar 2024	156	72	6	234
Apr 2024	134	51	4	189
May 2024	151	83	9	243
Jun 2024	184	90	3	277
Jul 2024	126	60	4	190
Aug 2024	148	61	4	213
Sep 2024	146	36	0	182
Oct 2024	129	36	3	168
Nov 2024	116	27	3	146
Dec 2024	147	24	2	173
Jan 2025	134	29	0	163
Feb 2025	168	33	2	203
Mar 2025	192	37	5	234
Apr 2025	198	40	0	238
May 2025	151	33	0	184
Jun 2025	137	29	2	168
Jul 2025	155	35	2	192
Aug 2025	184	52	4	240
Sep 2025	191	36	1	228
Oct 2025	146	55	1	202
Nov 2025	26	7	0	33

Cumulative views and downloads (calculated since 28 May 2014)

Month	HTML	PDF	XML	Total
May 2014	90	73	1	164
Jun 2014	38	41	0	79
Jul 2014	40	27	2	69
Aug 2014	13	20	0	33
Sep 2014	10	23	1	34
Oct 2014	6	8	1	15
Nov 2014	7	18	0	25
Dec 2014	6	21	0	27
Jan 2015	326	143	5	474
Feb 2015	88	71	9	168
Mar 2015	74	65	2	141
Apr 2015	71	50	5	126
May 2015	33	43	1	77
Jun 2015	42	34	2	78
Jul 2015	51	35	2	88
Aug 2015	38	54	0	92
Sep 2015	23	44	1	68
Oct 2015	36	50	1	87
Nov 2015	52	54	0	106
Dec 2015	25	52	1	78
Jan 2016	52	49	0	101
Feb 2016	33	34	2	69
Mar 2016	37	43	15	95
Apr 2016	25	27	0	52
May 2016	36	30	1	67
Jun 2016	21	17	1	39
Jul 2016	18	7	4	29
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Jun 2020	70	14	0	84
Jul 2020	75	28	11	114
Aug 2020	107	41	7	155
Sep 2020	132	37	0	169
Oct 2020	87	35	2	124
Nov 2020	95	35	0	130
Dec 2020	108	41	0	149
Jan 2021	128	75	1	204
Feb 2021	111	53	0	164
Mar 2021	103	51	1	155
Apr 2021	95	44	2	141
May 2021	96	39	2	137
Jun 2021	105	46	0	151
Jul 2021	91	35	1	127
Aug 2021	103	32	0	135
Sep 2021	85	58	0	143
Oct 2021	85	77	1	163
Nov 2021	105	67	4	176
Dec 2021	91	55	1	147
Jan 2022	114	61	2	177
Feb 2022	104	45	2	151
Mar 2022	112	64	1	177
Apr 2022	137	51	7	195
May 2022	112	51	1	164
Jun 2022	120	52	4	176
Jul 2022	129	47	8	184
Aug 2022	123	59	2	184
Sep 2022	104	61	1	166
Oct 2022	131	68	4	203
Nov 2022	143	63	1	207
Dec 2022	119	47	1	167
Jan 2023	136	54	3	193
Feb 2023	160	52	3	215
Mar 2023	211	80	7	298
Apr 2023	160	78	5	243
May 2023	158	75	6	239
Jun 2023	161	90	5	256
Jul 2023	163	63	7	233
Aug 2023	154	73	4	231
Sep 2023	173	70	3	246
Oct 2023	252	101	4	357
Nov 2023	123	40	0	163
Dec 2023	108	41	5	154
Jan 2024	148	64	1	213
Feb 2024	112	60	1	173
Mar 2024	156	72	6	234
Apr 2024	134	51	4	189
May 2024	151	83	9	243
Jun 2024	184	90	3	277
Jul 2024	126	60	4	190
Aug 2024	148	61	4	213
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Oct 2024	129	36	3	168
Nov 2024	116	27	3	146
Dec 2024	147	24	2	173
Jan 2025	134	29	0	163
Feb 2025	168	33	2	203
Mar 2025	192	37	5	234
Apr 2025	198	40	0	238
May 2025	151	33	0	184
Jun 2025	137	29	2	168
Jul 2025	155	35	2	192
Aug 2025	184	52	4	240
Sep 2025	191	36	1	228
Oct 2025	146	55	1	202
Nov 2025	26	7	0	33

Latest update: 07 Nov 2025

Short summary

The focus of this paper is to (1) present a community data set of daily forcing and hydrologic response data for 671 unimpaired basins across the contiguous United States that spans a very wide range of hydroclimatic conditions, and (2) provide a calibrated model performance benchmark using a common conceptual snow and hydrologic modeling system. This benchmark provides a reference level of model performance across a very large basin sample and highlights regional variations in performance.