Changes
On April 25, 2022 at 4:06:57 PM UTC, James Kirchner:
-
Updated description of Impulse response functions for nonlinear nonstationary and heterogeneous systems from
The R script IRFnnhs.R, which efficiently estimates impulse response functions for environmental systems that are nonlinear, nonstationary, or heterogeneous, based on their input and output time series. Scripts and results for a series of benchmark tests are also provided, to accompany Kirchner, J.W., Impulse response functions for heterogeneous, nonstationary, and nonlinear systems, estimated by deconvolution and demixing of noisy time series, (_Sensors_, 2022).
toThe R script IRFnnhs.R, which efficiently estimates impulse response functions for environmental systems that are nonlinear, nonstationary, or heterogeneous, based on their input and output time series. Scripts and results for a series of benchmark tests are also provided, to accompany Kirchner, J.W., Impulse response functions for heterogeneous, nonstationary, and nonlinear systems, estimated by deconvolution and demixing of noisy time series, _Sensors_, 22(9), 3291, https://doi.org/10.3390/s22093291, 2022.
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2 | "author": "[{\"affiliation\": \"ETHZ\", \"affiliation_02\": \"WSL\", | 2 | "author": "[{\"affiliation\": \"ETHZ\", \"affiliation_02\": \"WSL\", | ||
3 | \"affiliation_03\": \"University of California, Berkeley\", | 3 | \"affiliation_03\": \"University of California, Berkeley\", | ||
4 | \"data_credit\": [\"software\", \"publication\"], \"email\": | 4 | \"data_credit\": [\"software\", \"publication\"], \"email\": | ||
5 | \"kirchner@ethz.ch\", \"given_name\": \"James W.\", \"identifier\": | 5 | \"kirchner@ethz.ch\", \"given_name\": \"James W.\", \"identifier\": | ||
6 | \"0000-0001-6577-3619\", \"name\": \"Kirchner\"}]", | 6 | \"0000-0001-6577-3619\", \"name\": \"Kirchner\"}]", | ||
7 | "author_email": null, | 7 | "author_email": null, | ||
8 | "creator_user_id": "08d99172-ab7a-4f82-a74a-c252227f6fd4", | 8 | "creator_user_id": "08d99172-ab7a-4f82-a74a-c252227f6fd4", | ||
9 | "date": "[{\"date\": \"2024-04-24\", \"date_type\": \"created\", | 9 | "date": "[{\"date\": \"2024-04-24\", \"date_type\": \"created\", | ||
10 | \"end_date\": \"\"}]", | 10 | \"end_date\": \"\"}]", | ||
11 | "doi": "10.16904/envidat.312", | 11 | "doi": "10.16904/envidat.312", | ||
12 | "funding": "[{\"grant_number\": \"\", \"institution\": \"ETH | 12 | "funding": "[{\"grant_number\": \"\", \"institution\": \"ETH | ||
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19 | "license_title": "Creative Commons Attribution Share-Alike | 19 | "license_title": "Creative Commons Attribution Share-Alike | ||
20 | (CC-BY-SA)", | 20 | (CC-BY-SA)", | ||
21 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | 21 | "license_url": "https://creativecommons.org/licenses/by-sa/4.0/", | ||
22 | "maintainer": "{\"affiliation\": \"ETHZ\", \"email\": | 22 | "maintainer": "{\"affiliation\": \"ETHZ\", \"email\": | ||
23 | \"kirchner@ethz.ch\", \"given_name\": \"James W.\", \"identifier\": | 23 | \"kirchner@ethz.ch\", \"given_name\": \"James W.\", \"identifier\": | ||
24 | \"0000-0001-6577-3619\", \"name\": \"Kirchner\"}", | 24 | \"0000-0001-6577-3619\", \"name\": \"Kirchner\"}", | ||
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26 | "metadata_created": "2022-04-24T18:43:57.475435", | 26 | "metadata_created": "2022-04-24T18:43:57.475435", | ||
n | 27 | "metadata_modified": "2022-04-25T15:36:45.796616", | n | 27 | "metadata_modified": "2022-04-25T16:06:57.091015", |
28 | "name": "impulse_response_function_script", | 28 | "name": "impulse_response_function_script", | ||
29 | "notes": "The R script IRFnnhs.R, which efficiently estimates | 29 | "notes": "The R script IRFnnhs.R, which efficiently estimates | ||
30 | impulse response functions for environmental systems that are | 30 | impulse response functions for environmental systems that are | ||
31 | nonlinear, nonstationary, or heterogeneous, based on their input and | 31 | nonlinear, nonstationary, or heterogeneous, based on their input and | ||
32 | output time series. \r\n\r\nScripts and results for a series of | 32 | output time series. \r\n\r\nScripts and results for a series of | ||
33 | benchmark tests are also provided, to accompany Kirchner, J.W., | 33 | benchmark tests are also provided, to accompany Kirchner, J.W., | ||
34 | Impulse response functions for heterogeneous, nonstationary, and | 34 | Impulse response functions for heterogeneous, nonstationary, and | ||
35 | nonlinear systems, estimated by deconvolution and demixing of noisy | 35 | nonlinear systems, estimated by deconvolution and demixing of noisy | ||
t | 36 | time series, (_Sensors_, 2022). ", | t | 36 | time series, _Sensors_, 22(9), 3291, |
37 | https://doi.org/10.3390/s22093291, 2022. ", | ||||
37 | "num_resources": 4, | 38 | "num_resources": 4, | ||
38 | "num_tags": 11, | 39 | "num_tags": 11, | ||
39 | "organization": { | 40 | "organization": { | ||
40 | "approval_status": "approved", | 41 | "approval_status": "approved", | ||
41 | "created": "2019-08-21T09:46:01.602326", | 42 | "created": "2019-08-21T09:46:01.602326", | ||
42 | "description": "Our research explores environmental systems, often | 43 | "description": "Our research explores environmental systems, often | ||
43 | using approaches developed in physics. Environmental systems often | 44 | using approaches developed in physics. Environmental systems often | ||
44 | encompass physical processes and material properties that are complex, | 45 | encompass physical processes and material properties that are complex, | ||
45 | heterogeneous on all scales, and poorly characterized by direct | 46 | heterogeneous on all scales, and poorly characterized by direct | ||
46 | measurement. Thus we often need to try to understand these systems by | 47 | measurement. Thus we often need to try to understand these systems by | ||
47 | cleverly analyzing how they behave, and by probing their inner | 48 | cleverly analyzing how they behave, and by probing their inner | ||
48 | workings using carefully designed experiments. The spatial | 49 | workings using carefully designed experiments. The spatial | ||
49 | heterogeneity and process complexity of environmental systems imply | 50 | heterogeneity and process complexity of environmental systems imply | ||
50 | that any feasible theory will inevitably involve substantial | 51 | that any feasible theory will inevitably involve substantial | ||
51 | simplifications and generalizations. The essential question in | 52 | simplifications and generalizations. The essential question in | ||
52 | environmental science is which simplifications and generalizations are | 53 | environmental science is which simplifications and generalizations are | ||
53 | the right ones. We seek to answer questions such as:\r\n\r\n- How | 54 | the right ones. We seek to answer questions such as:\r\n\r\n- How | ||
54 | does rainfall become runoff?\r\n- How is the chemistry of natural | 55 | does rainfall become runoff?\r\n- How is the chemistry of natural | ||
55 | waters shaped by subsurface transport and mixing, by chemical | 56 | waters shaped by subsurface transport and mixing, by chemical | ||
56 | reactions with soils and rocks, and by biological processes?\r\n- | 57 | reactions with soils and rocks, and by biological processes?\r\n- | ||
57 | Conversely, what can we learn about these processes at the scale of | 58 | Conversely, what can we learn about these processes at the scale of | ||
58 | the whole landscape, by observing the signals that they impart to | 59 | the whole landscape, by observing the signals that they impart to | ||
59 | streams?\r\n- What processes control rates and patterns of physical | 60 | streams?\r\n- What processes control rates and patterns of physical | ||
60 | erosion and chemical weathering? And how do they, in turn, regulate | 61 | erosion and chemical weathering? And how do they, in turn, regulate | ||
61 | the topographic evolution of mountains and valleys, as well as the | 62 | the topographic evolution of mountains and valleys, as well as the | ||
62 | physical and chemical environment in which we (and all other | 63 | physical and chemical environment in which we (and all other | ||
63 | organisms) live?\r\n\r\nWe explore connections between terrestrial and | 64 | organisms) live?\r\n\r\nWe explore connections between terrestrial and | ||
64 | aquatic environments, and linkages between physical, chemical, and | 65 | aquatic environments, and linkages between physical, chemical, and | ||
65 | biological processes. Our work typically combines field observations, | 66 | biological processes. Our work typically combines field observations, | ||
66 | simple mathematical models, and novel analyses of environmental data. | 67 | simple mathematical models, and novel analyses of environmental data. | ||
67 | ", | 68 | ", | ||
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72 | "name": "physics-of-environmental-systems", | 73 | "name": "physics-of-environmental-systems", | ||
73 | "state": "active", | 74 | "state": "active", | ||
74 | "title": "Physics of Environmental Systems", | 75 | "title": "Physics of Environmental Systems", | ||
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80 | \"EnviDat\"}", | 81 | \"EnviDat\"}", | ||
81 | "publication_state": "pub_pending", | 82 | "publication_state": "pub_pending", | ||
82 | "related_datasets": "", | 83 | "related_datasets": "", | ||
83 | "related_publications": "*Kirchner, J.W., Impulse response functions | 84 | "related_publications": "*Kirchner, J.W., Impulse response functions | ||
84 | for heterogeneous, nonstationary, and nonlinear systems, estimated by | 85 | for heterogeneous, nonstationary, and nonlinear systems, estimated by | ||
85 | deconvolution and demixing of noisy time series, _Sensors_, 22(9), | 86 | deconvolution and demixing of noisy time series, _Sensors_, 22(9), | ||
86 | 3291, https://doi.org/10.3390/s22093291, 2022. ", | 87 | 3291, https://doi.org/10.3390/s22093291, 2022. ", | ||
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241 | { | 242 | { | ||
242 | "display_name": "IMPULSE RESPONSE FUNCTION", | 243 | "display_name": "IMPULSE RESPONSE FUNCTION", | ||
243 | "id": "503f006b-706f-47b2-9f55-1962e2a23d8a", | 244 | "id": "503f006b-706f-47b2-9f55-1962e2a23d8a", | ||
244 | "name": "IMPULSE RESPONSE FUNCTION", | 245 | "name": "IMPULSE RESPONSE FUNCTION", | ||
245 | "state": "active", | 246 | "state": "active", | ||
246 | "vocabulary_id": null | 247 | "vocabulary_id": null | ||
247 | }, | 248 | }, | ||
248 | { | 249 | { | ||
249 | "display_name": "IRF", | 250 | "display_name": "IRF", | ||
250 | "id": "fedd00d4-0c4d-4f42-8091-489405437ea9", | 251 | "id": "fedd00d4-0c4d-4f42-8091-489405437ea9", | ||
251 | "name": "IRF", | 252 | "name": "IRF", | ||
252 | "state": "active", | 253 | "state": "active", | ||
253 | "vocabulary_id": null | 254 | "vocabulary_id": null | ||
254 | }, | 255 | }, | ||
255 | { | 256 | { | ||
256 | "display_name": "IRFNNHS.R", | 257 | "display_name": "IRFNNHS.R", | ||
257 | "id": "34f5ede0-f10d-4bb6-b240-4828af3d6e26", | 258 | "id": "34f5ede0-f10d-4bb6-b240-4828af3d6e26", | ||
258 | "name": "IRFNNHS.R", | 259 | "name": "IRFNNHS.R", | ||
259 | "state": "active", | 260 | "state": "active", | ||
260 | "vocabulary_id": null | 261 | "vocabulary_id": null | ||
261 | }, | 262 | }, | ||
262 | { | 263 | { | ||
263 | "display_name": "NONLINEAR DECONVOLUTION", | 264 | "display_name": "NONLINEAR DECONVOLUTION", | ||
264 | "id": "cecdaa4b-e0c8-49fd-b278-2a7ff2cabb00", | 265 | "id": "cecdaa4b-e0c8-49fd-b278-2a7ff2cabb00", | ||
265 | "name": "NONLINEAR DECONVOLUTION", | 266 | "name": "NONLINEAR DECONVOLUTION", | ||
266 | "state": "active", | 267 | "state": "active", | ||
267 | "vocabulary_id": null | 268 | "vocabulary_id": null | ||
268 | }, | 269 | }, | ||
269 | { | 270 | { | ||
270 | "display_name": "SYSTEM IDENTIFICATION", | 271 | "display_name": "SYSTEM IDENTIFICATION", | ||
271 | "id": "ab89feda-eec6-47da-b068-29c783a78d4a", | 272 | "id": "ab89feda-eec6-47da-b068-29c783a78d4a", | ||
272 | "name": "SYSTEM IDENTIFICATION", | 273 | "name": "SYSTEM IDENTIFICATION", | ||
273 | "state": "active", | 274 | "state": "active", | ||
274 | "vocabulary_id": null | 275 | "vocabulary_id": null | ||
275 | }, | 276 | }, | ||
276 | { | 277 | { | ||
277 | "display_name": "TIME SERIES ANALYSIS", | 278 | "display_name": "TIME SERIES ANALYSIS", | ||
278 | "id": "28f69c3a-b99b-4f48-94ab-87db62b7620a", | 279 | "id": "28f69c3a-b99b-4f48-94ab-87db62b7620a", | ||
279 | "name": "TIME SERIES ANALYSIS", | 280 | "name": "TIME SERIES ANALYSIS", | ||
280 | "state": "active", | 281 | "state": "active", | ||
281 | "vocabulary_id": null | 282 | "vocabulary_id": null | ||
282 | }, | 283 | }, | ||
283 | { | 284 | { | ||
284 | "display_name": "TRANSFER FUNCTION", | 285 | "display_name": "TRANSFER FUNCTION", | ||
285 | "id": "c2f16a29-9a63-46b5-897e-6671abae10da", | 286 | "id": "c2f16a29-9a63-46b5-897e-6671abae10da", | ||
286 | "name": "TRANSFER FUNCTION", | 287 | "name": "TRANSFER FUNCTION", | ||
287 | "state": "active", | 288 | "state": "active", | ||
288 | "vocabulary_id": null | 289 | "vocabulary_id": null | ||
289 | } | 290 | } | ||
290 | ], | 291 | ], | ||
291 | "title": "Impulse response functions for nonlinear nonstationary and | 292 | "title": "Impulse response functions for nonlinear nonstationary and | ||
292 | heterogeneous systems", | 293 | heterogeneous systems", | ||
293 | "type": "dataset", | 294 | "type": "dataset", | ||
294 | "url": null, | 295 | "url": null, | ||
295 | "version": "1.2" | 296 | "version": "1.2" | ||
296 | } | 297 | } |