Evaluating a conceptual hydrological model at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures - 6
Description
This resource contains data corresponding to the study titled "Evaluating a conceptual hydrological model at gauged and ungauged basins using machine learning-based limits-of-acceptability and hydrological signatures"
A detailed description of the dataset is contained in a readme file contained in the resource.
This is only a part of this resource, other parts are shared on zenodo with appropriate titles. This resource is for the case where 99.5th percentile was used as upper LoA and 0% outliers were allowed.
For further information on this resource, please contact abhigupta.1611@gmail.com
Files
fraction_behavioral_models.txt
Files
(7.6 GB)
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md5:ac0314ebf30b58f49c7aeab9f59bd891
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4.3 MB | Download |
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md5:bd3937a8c7ab938e24b4d13ede829976
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880.6 MB | Download |
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md5:3379a5d734525d89e9425663b579d996
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471.5 MB | Download |
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md5:082fcd4fbddd59c20d10dc5c4e1d635d
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3.9 MB | Download |
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md5:f111397d74ff2e72f3c8068a53f939b1
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295.0 kB | Download |
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md5:78fd4f576f712af195fe084bafce98d5
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755.3 MB | Download |
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md5:b9ffa9130e8c58e9ad57df60a03ef6c2
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26.9 MB | Download |
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md5:e5ec4fd990eaca4713204e2a76973bf9
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454.2 MB | Download |
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md5:cad114043f4a7ea67b699a1be8909e04
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63.6 MB | Download |
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md5:d53ca66311e2780b1a3c6372049bac1a
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242.7 kB | Download |
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md5:007fae319ea860a149174c5c39b493cd
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242.0 kB | Download |
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md5:9c39075a45ac939a20a88f871c4785da
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2.0 MB | Download |
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md5:241c496e2d25ea907ea5654c2850ee19
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71.9 MB | Download |
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md5:b042d39c523cd7fd5a2734cdf1520df3
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700.7 MB | Download |
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md5:40202baaebc6e30575bae1d5762ec7eb
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1.9 MB | Download |
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md5:7c1a63e134d78b64424dea84e41368fe
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65.1 kB | Download |
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md5:b437b464ff8f45ed2e78d0104d52fbc2
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63.0 MB | Download |
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md5:b5407fb2076bd1122e9279b8d2815d16
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143.1 kB | Download |
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md5:303af780b75bc71c413c59e19d3cd4b0
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615.8 MB | Download |
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md5:85d54ca32902ed4e086c4b0a2294a413
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1.9 MB | Download |
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md5:906f93178edc73c79e1e7298f1e4d12f
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230.6 kB | Download |
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md5:0335f93ca884280514557779bd25c4f1
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230.4 kB | Download |
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md5:d6f2106e43b8321a8f42321314aca8b0
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2.9 MB | Download |
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md5:8614ba0631af81e76b7dcd1637b9dbf5
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13.6 MB | Download |
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md5:03f6927384642d9665d9e61d74768ab0
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871.4 MB | Download |
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md5:a27253866bf08520c7066d553dc92b45
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2.7 MB | Download |
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md5:ceae547582a0ceac0bd344092e520eda
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336.4 kB | Download |
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md5:103ef426f90bbdae0d37832cc468d849
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11.7 MB | Download |
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md5:dd60cb31e1bb54aa14503326412d0f5a
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382.9 kB | Download |
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md5:c65dc01275d59c9164c2936d26ab5a1b
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755.6 MB | Download |
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md5:869a7c785d961e4d5d40a9675780d4e2
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30.6 MB | Download |
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md5:a2a4a49a91344588a13b4f65b5b5200f
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241.8 kB | Download |
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md5:41c0ee5c8bc8e465249fe425b7390cb6
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241.0 kB | Download |
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md5:fb7de479cb99c00f46c9fb32f6a9330f
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5.3 MB | Download |
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md5:2cfbdbb736f0ff86fba45f2251007cf9
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42.2 MB | Download |
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md5:d42de7c44dd2c1bb91c2c677c8af4234
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784.2 MB | Download |
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md5:6fccbec23063586bb9ee0dd453ac9e3b
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4.8 MB | Download |
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md5:ffa77d08bf47c48f76c0d8f0013f8657
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422.7 kB | Download |
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md5:0941c976794c644e7046fbbec9f06980
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38.7 MB | Download |
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md5:6fc3b2989037b9e4f150556fa8fcde6e
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3.8 MB | Download |
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md5:744bc9c25f636efe460d8b79fcbbce4d
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765.8 MB | Download |
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md5:7d0c4d14acd45a8ea9fdc8e227718719
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116.5 MB | Download |
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md5:a8d1b9315b7efa6f4917102fb65402c5
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245.0 kB | Download |
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md5:63b7697969465d431420c7fd95ce17f2
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244.9 kB | Download |
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md5:59828941d4488db7433ec58a89cc7588
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244.8 kB | Download |
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md5:f8518f16384e78b53ebe131848f1560d
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181 Bytes | Preview Download |