Transcript CUAHSI HIS Survey at Berkeley - University of Texas at Austin

CUAHSI HIS Survey at
Berkeley
Seongeun Jeong and Xu Liang
Department of Civil & Environmental Engineering
UC Berkeley
1. Introduction

Survey goal: understand
the use of hydrologic
information and systems
at Berkeley from an
interdisciplinary
perspective
10%
3%
3%
CE
ESPM
EPS
LAEP
LBNL
21%
63%
Hydrology
14%
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Participation: 29 people
from 5 departments,
including LBNL,
participated
Fluid mechanics
7%
35%
Water resource
management
Meteorology
Biogeochemistry
10%
Ecology
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Survey methods: Webbased survey and paper
survey
Water quality
7%
7%
10%
10%
Others
2. Results and Analysis
Category 1. Systems/software

Preferred platforms and
available network systems
14%
3%
Windows
MAC OS
Unix/Linux
Combination
10%
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Windows users > 70%
Easy-to-use software
Basic network functions (e.g.,
data archiving and printing) are
available
System administrators having
Multiple roles and tasks (e.g.,
server management)
Provide effective and easy-touse interface

User can easily connect matlab
(or other softwares) to HIS
data
73%
18
Number of responses

57%
16
55%
14
12
34%
10
8
17%
6
4
2
0
Matlab
Excel
GIS
Software
Splus
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Current status and problems
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On an average, 30 % of total
research time is spent on tasks
related to data processing
Difficulties in using hydrologic
data
Have to access many different data
sources with very different interfaces
and data organizations
Lack of data visualization tools
Large uncertainties associated with
data
Lack of basic functions to conduct
data analysis (e.g., checking
consistency, basic statistics, etc.)
before downloading the data
People use well established data
providers such as UGSG and
NCDC
21% 21%
6
21%
5
4
10%
3
7%
2
3%
1
0
10
20
30
40
50
60
Portion of research time for data
processing (%)
14
45%
12
Preference
Category 2. Data and sources
Number of responses
7
10
8
6
17%
17%
NCDC
CIMIS
4
2
0
USGS
Data sources
Category 3. Needs for a data
system from research,
applications, and education
perspectives
12%
0%
15%
1 (Not at all)
2
3
4
5 (Very often)
31%

Needs to address common
problems that people encounter
42%
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Participants indicated the lack of basic
functionalities in most of the current
data sources
100 % of the participants say they need
to have the ease of getting data
40 % say complicated data system will
be helpful, but not necessary
Quick and easy-to-use visualization
is important to check datasets
before the user downloads the data

Necessity for complicated data system
Most needed functionalities: Data
visualization & basic statistical functions
14
Number of reponses

45%
12
41%
10
8
6
4
7%
2
0
Dada
visualization
Statistical
analysis
Functionalities
Data conversion
Category 3. (Continued)

Needs to integrate various
data sources in a single Web
system

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People prefer to search and
retrieve various data through
a single web-based system
Needs to provide easy access
to various data sources

Needs to provide assess to the
existing popular data
providers

Needs to provide a userfriendly connection to popular
softwares for further in-depth
data analysis
16
14
12
52%
Web
Collaborators
10
8
21%
6
4
2
10%
7%
0
1st
2nd
3rd
preference preference preference
Preferred data acquisition methods
Category 3. (Continued)

Link hydrologic information to a variety type of data for
diverse use of hydrologic information in research,
applications, and education. For example:

Modeling such as hydrological, atmospheric, groundwater, and
water quality modeling

Calibration and validation of numerical models
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Ecosystem modeling (e.g., climate/plant interactions, relationship
of species meta-population with water management, wetland
dynamics, etc.)
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Watershed and river restoration
Category 4. CUAHSI HIS
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One thirds (1/3) recognized CUAHSI HIS
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Expected Infrastructure and services from CUAHIS HIS
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Capability of data sharing (e.g., easy to ingest data into and to retrieve data
from HIS)
Standard data transferability (e.g., temporal and spatial resolution
conversion)
Support of various data formats (e.g., Ascii, Bin, HDF, etc.)
Easy data configuration
User-friendly cataloguing and indexing
Serve people in other fields (e.g., ecology)
Single interface, web-based data system
Data visualization
Basic statistic analysis functions
Easy connection to other popular softwares (e.g., Matlab, Excel, GIS, Splus,
etc.) for further in-depth analysis
Open source approach
Complicated data system is helpful but not necessary
Prototype its integrated system, and receive feedbacks
3. Conclusion

Hydrology-related research applications from
the five departments at Berkeley are diverse

The identified problems in the use of hydrologic
information are common among the different
fields

Focus on basic problems (e.g., quick
visualization for data validation) that were not
adequately addressed

Provide an IT environment to facilitate
interdisciplinary research capacity at Berkeley