CEOP CAMP Eastern Siberia Taiga Reference Site


1. IDENTIFICATION INFORMATION

Name CEOP CAMP Eastern Siberia Taiga Reference Site
Metadata Identifier CEOP_CAMP_Eastern_Siberia_Taiga20181214125334-DIAS20180903143952-en

2. CONTACT

2.1 CONTACT on DATASET

Name Hironori Yabuki
Organization Independent Administrative Institution Japan Agency for Marine-Earth Science and Technology, Institute of Observational Research for Global Change
Address 3173-25 Showa-machi , Yokohama-City, Kanagawa, 236-0001, Japan
TEL +81-45-778-5645
FAX +81-45-778-5706
E-mail yabuki@jamstec.go.jp
Name Tetsuo Ohata
Organization Independent Administrative Institution Japan Agency for Marine-Earth Science and Technology, Institute of Observational Research for Global Change
Address 2-15 Natsushima-cho, Yokosuka, Kanagawa, 237-0061, Japan
TEL +81-46-867-9250
FAX +81-46-867-9250
E-mail ohatat@jamstec.go.jp

2.2 CONTACT on PROJECT

2.2.1 Data Integration and Analysis System

Name DIAS Office
Organization Remote Sensing Technology Center of Japan
Address TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001, Japan
E-mail dias-office@diasjp.net

3. DOCUMENT AUTHOR

Name Hironori Yabuki
Organization Independent Administrative Institution Japan Agency for Marine-Earth Science and Technology, Institute of Observational Research for Global Change
E-mail yabuki@jamstec.go.jp
Name Tetsuo Ohata
Organization Independent Administrative Institution Japan Agency for Marine-Earth Science and Technology, Institute of Observational Research for Global Change
E-mail ohatat@jamstec.go.jp

4. DATASET CREATOR

Name Hironori Yabuki
Organization Independent Administrative Institution Japan Agency for Marine-Earth Science and Technology, Institute of Observational Research for Global Change
E-mail yabuki@jamstec.go.jp
Name Tetsuo Ohata
Organization Independent Administrative Institution Japan Agency for Marine-Earth Science and Technology, Institute of Observational Research for Global Change
E-mail ohatat@jamstec.go.jp

5. DATE OF THIS DOCUMENT

2018-12-14

6. DATE OF DATASET

  • creation : 2010-05-06

7. DATASET OVERVIEW

7.1 Abstract

Objectives

The goal of the GAME-Siberia project is to clarify the characteristics and processes of water accumulation and transfer and their relation with the energy cycle, in the atmosphere-land surface interface of cold environments from the seasonal to the inter-annual time scale. This study will contribute to one of the primary GAME objectives;

• To understand multi-scale interactions in the energy and hydrologic cycles in the Asian Monsoon Region

and one scientific objective;

•To assess the impact of monsoon variability on the regional hydrologic cycle.

The objectives of Taiga study subgroup include:

1.Develop seasonal and inter-annual variation of one-dimensional energy and water vapor fluxes over tundra.

2.Characterize the water balance components in these Taiga watersheds.

3.Determine the areal distribution of ground surface properties.

7.2 Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

7.3 Temporal Extent

Begin Date 2002-10-01 00:00:00
End Date 2004-12-17 23:59:59
Temporal Characteristics 30minute

7.4 Geographic Bounding Box

North bound latitude 62.255
West bound longitude 129.618
Eastbound longitude 129.618
South bound latitude 62.255

7.5 Grid

7.6 Geographic Description

7.7 Keywords

7.7.1 Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Climate, Water GEOSS

7.7.2 Keywords on Project

7.7.2.1 Data Integration and Analysis System
Keyword Type Keyword Keyword thesaurus Name
theme DIAS > Data Integration and Analysis System No_Dictionary

7.9 Data Environmental Information

7.10 Distribution Information

name version specification
PRN no information CEOP Unified Format

8. DATA PROCESSING

8.1 Data Processing (1)

8.1.1 General Explanation of the data producer's knowledge about the lineage of a dataset

Temperature, relative humidity and radiation are instantaneous values. Atmospheric pressure is averaged over the previous 30 minutes. Wind speed and direction are the resulting average speed and direction over the previous 30 minutes (calculated by the data logger by means of data recorded every 5 seconds): this to minimize data unreliability due to sudden gusts. Snow depth is instantaneous values of each 2 hours. The snow sensor is based on a 50 kHz (Ultrasonic) electrostatic transducer. The SR50 determines the distance to a target by sending out ultrasonic pulses and listening for the returning echoes that are reflected from the target. Air temperature is used to compensate the snow data which is measured by using snow depth sensor. A temperature compensated distance from SR50 to snow surface is obtained by multiplying the SR50 reading by the square root of the air temperature in degree Kelvin divided by 273.15.

DISTANCE = READINGSR50×root( T (K) / 273.15(K) )

And the Four parameters indicated below were computed by using “CEOP Derived Parameter Equations: http://www.joss.ucar.edu/ghp/ceopdm/refdata_report/eqns.html” . also put the data flag “I”, In the case of calculated by using dubious value fagged “D”, the data flag was put “D”.

Dew Point Temperature were computed by using (Bolton 1980):

es = 6.112 * exp((17.67 * T)/(T + 243.5));

e = es * (RH/100.0);

Td = log(e/6.112)*243.5/(17.67-log(e/6.112));

where:

T = temperature in deg C;

es = saturation vapor pressure in mb;

e = vapor pressure in mb;

RH = Relative Humidity in percent;

Td = dew point in deg C

Specific Humidity were computed by using (Bolton 1980):

e = 6.112*exp((17.67*Td)/(Td + 243.5));

q = (0.622 * e)/(p - (0.378 * e));

where:

e = vapor pressure in mb;

Td = dew point in deg C;

p = surface pressure in mb;

q = specific humidity in kg/kg.

U,V Components were computed by using (GEMPAK):

U = -sin(direction) * wind_speed;

V = -cos(direction) * wind_speed;

Net radiation were computed by using (GEMPAK):

NET_radiation = down(in)short + down(in)long - up(out)short - up(out)long;

8.1.2 Data Source

Data Source Citation Name Description of derived parameters and processing techniques used

9. DATA REMARKS

For all parameters, the data has been visually checked, looking for extremely and unusual low/high values and/or periods with constant values thorough the CAMP Quality Control Web Interface.

The quality control flags follow the CEOP data flag definition document.

10. USE CONSTRAINTS

10.1 Data Policy by Data Provider

10.2 Data Policy for Project

10.2.1 Data Integration and Analysis System

The terms of data use of data providers take first priority over the DIAS data usage policy. In the event a data provider has not established terms of use, the following DIAS project data terms of use apply.

1. Users shall prioritize and abide by terms of use stipulated by a data provider in the event such exist

2. The use of DIAS data sets is limited to research and educational purposes [*1]

3. Users shall not modify the content of DIAS data sets

4. Users shall not provide the content of DIAS data sets to third parties

5. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall cite in parenthesis the text given as the data citation

6. In the event of using DIAS data sets in an academic presentation, paper, article, or report, etc., users shall submit a copy of the work (an offprint in the case of a paper, or a copy of the lecture summary in the case of an oral or poster presentation) to the DIAS office below

[*1] Data sets whose commercial usage are allowed under the data policy by data provider will be also allowed to be used commercially as DIAS data sets, after ongoing preparation works have been completed. Please contact the DIAS Office for more details.

[DIAS Office]

E-mail: dias-office@diasjp.net

Remote Sensing Technology Center of Japan

TOKYU REIT Toranomon Building 2F 3-17-1 Toranomon, Minato-ku, Tokyo, 105-0001

10.3 Disclaimer for Project

10.3.1 Data Integration and Analysis System

1. DIAS data provider is not liable for any losses or any damage when DIAS data sets are used.

2. DIAS data and related information are subject to change without any prior notice.

3. DIAS data sets provided are not supported for any additional processing or analysis.

11 ACKNOWLEDGEMENT

11.1 Dataset Acknowledgement

11.2 Project Acknowledgement

11.2.1 Data Integration and Analysis System

Whenever DIAS dataset is used for any academic presentations, and any publication of scientific results, the author(s) shall specify the following acknowledgement and if the data provider has their own acknowledgement quotation, the author(s) shall use both acknowledgements.

"The DIAS dataset is archived and provided under the framework of the Data Integration and Analysis System (DIAS) funded by Ministry of Education, Culture, Sports, Science and Technology (MEXT)."

12. REFERENCES

Ohta, T., T. Hiyama, H. Tanaka, T. Kuwada, T. C. Maximov, T. Ohata and Y. Fukushima (2001) Seasonal variation in the energy and water exchanges above and below a larch forest in Eastern Siberia. HYDROLOGICAL PROCESSES. 15, 1459-1476.

Original data was collected and is provided within the framework of the Institute of Observational Research for Global Chang (IORGC), Independent Administrative Institution Japan Agency for Marine-Earth Science and Technology (JAMSTEC), financially supported by the Japanese Ministry of Education, Culture, Sports, Science and Technology (MEXT).

Copyright(c) 2006-2018 Data Integration & Analysis System (DIAS) All Rights Reserved.
This project is supported by "Data Integration & Analysis System" funded by MEXT, Japan