GroMoPo Metadata for Heihe River Basin cloud computing model

Authors:

GroMoPo Sacha Ruzzante

Owners:

gromopo_admin

Type:

Resource

Storage:

The size of this resource is 1.6 KB

Created:

Feb 08, 2023 at 3:41 p.m.

Last updated:

Feb 08, 2023 at 3:41 p.m.

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Abstract

With the significant advancements in Information and Communications Technology (ICT), cloud based applications provide a novel approach to access applications which are not installed on the local computers. The integration of cloud computing and Internet of Things (IoT) indicated a bright future of the Internet. In this paper, a new architecture of cloud computing Model as a Service (MaaS) is proposed. The feasibility of the proposed architecture is proved by implementing a groundwater model on cloud as a case study. The groundwater model is established using MODFLOW for the middle reach of the Heihe River Basin (HRB). The model is calibrated using in situ observation to ensure capability of simulating the groundwater process with Root Mean Square Error (RMSE) of 1.70 m and coefficient of determination (R-2) of 0.64. The parameter uncertainties of the groundwater model are analyzed by sequential data assimilation algorithms (PF, Particle Filter; EnKF, Ensemble Kalman Filter) in a synthetic case. The results show that the parameter uncertainties are effectively reduced by incorporating observed information recursively. A comparison between PF and EnKF indicate that the results from PF are slightly better than those from EnKF. The integration shows a bright future for simulating the groundwater system in realtime. This study provides a flexible and effective approach for analyzing the uncertainties and time variant properties of the parameters and the proposed architecture of cloud computing provides a novel approach for the researchers and decision -makers to construct numerical models and follow-up researches. (C) 2017 Published by Elsevier B.V.

Subject Keywords

Coverage

Spatial

Coordinate System/Geographic Projection:

WGS 84 EPSG:4326

Coordinate Units:

Decimal degrees

Place/Area Name:

China

North Latitude

39.7000°

East Longitude

100.7000°

South Latitude

38.7000°

West Longitude

98.8000°

Streets Terrain Satelite

Spatial Extent

Content

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Additional Metadata

Name	Value
DOI	10.1016/j.future.2017.06.007
Depth
Scale	10 001 - 100 000 kmÂ²
Layers	1
Purpose	Scientific investigation (not related to applied problem)
GroMoPo_ID	320
IsVerified	True
Model Code	MODFLOW
Model Link	https://doi.org/10.1016/j.future.2017.06.007
Model Time	1986-2006
Model Year	2018
Model Authors	Chen, C; Chen, D; Yan, YN; Zhang, GF; Zhou, QG; Zhou, R
Model Country	China
Data Available	Report/paper only
Developer Email	zhouqg@lzu.edu.cn
Dominant Geology	Model focuses on multiple geologic materials
Developer Country	Peoples R China
Publication Title	Integration of numerical model and cloud computing
Original Developer	No
Additional Information
Integration or Coupling	None of the above
Evaluation or Calibration
Geologic Data Availability

How to Cite

GroMoPo, S. Ruzzante (2023). GroMoPo Metadata for Heihe River Basin cloud computing model, HydroShare, http://www.hydroshare.org/resource/cb2e0bbe090e437da52f383a0b4e7987

This resource is shared under the Creative Commons Attribution CC BY.

http://creativecommons.org/licenses/by/4.0/

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