CEOP CAMP Northeast Thailand Reference Site


IDENTIFICATION INFORMATION

Name CEOP CAMP Northeast Thailand Reference Site
Metadata Identifier CEOP_CAMP_Northeast_Thailand20181214125104-DIAS20180903143952-en

CONTACT

CONTACT on DATASET

Name Masatoshi AOKI
Organization Tokyo University of Agriculture and Technology
Address 3-8-1 Harumi-cho , Fucuu-city, Tokyo, 183-8538 , Japan
TEL +81-42-367-5727
FAX +81-42-367-6078
E-mail aoki.mas@cc.tuat.ac.jp

CONTACT on PROJECT

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

DOCUMENT AUTHOR

Name Masatoshi AOKI
Organization Tokyo University of Agriculture and Technology
E-mail aoki.mas@cc.tuat.ac.jp

DATASET CREATOR

Name Masatoshi AOKI
Organization Tokyo University of Agriculture and Technology
E-mail aoki.mas@cc.tuat.ac.jp

DATE OF THIS DOCUMENT

2018-12-14

DATE OF DATASET

  • creation : 2010-05-06

DATASET OVERVIEW

Abstract

To clarify the energy and water cycle in the Thailand, it is important to understand the characteristics of the basic meteorological elements and surface fluxes.

The purpose of PBL-Tower (Planetary Boundary Layer -Tower) observation is to monitor these meteorological values and analysis the mechanisms of the energy and water cycle in the Teak Forest in tropical Monsoon areas.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 2002-10-01 00:00:00
End Date 2004-12-31 23:59:59
Temporal Characteristics Hourly

Geographic Bounding Box

North bound latitude 14.470000
West bound longitude 102.380000
Eastbound longitude 102.380000
South bound latitude 14.470000

Keywords

Keywords on Dataset

Keyword Type Keyword Keyword thesaurus Name
theme Climate, Water GEOSS

Keywords on Project

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

Distribution Information

name version specification
PRN no information CEOP Unified Format

DATA PROCESSING

Data Processing (1)

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

Station Pressure is measured using a capacitive absolute pressure sensor, a kind of aneroid type barometer. When the pressure changes, the silicon diaphragm bend and changes the height of the vacuum gap in the sensor. This changes the capacitance of the sensor, which is measured and converted into a pressure reading.

Air temperature is measured by using Pt100 resistance thermometer.

Relative humidity is measured by using the thin-film polymer sensor. The thin polymer film either absorbs or releases water vapor as the relative humidity of the ambient air rises or drops. The dielectric properties of the polymer film depend on the amount of water contained in it: as the relative humidity changes the dielectric properties of the film change and so the capacitance of the sensor changes. The electronics of the instrument measure the capacitance of the sensor and convert it into a humidity reading.

Wind speed and direction is measured by using Young wind sensor.

Precipitation is measured by tipping bucket rain gauge.

Incoming Shortwave is measured by using pyranometer. The sensing element consists of a wire-wound thermopile constructed of electroplated copper on constantan, covered with black paint that has a spectrally flat absorption response. It is protected from environment effects (wind, etc.) using two concentric glass dome covers. Thermopiles detect the increase in temperature caused by the absorption of heat from solar radiation.

(Note: As there were noise upward and downward shortwave radiation in the night-time, the data under 5 W/m2 was replaced in the value 0.00 and flagged I. (G is flagged to the original 0 W/m2 data.))

Long wave radiation beyond 3 micrometer is measured by using pyradiometer. The principal of sensor is the same as pyranometer. It uses a specially coated silicon dome that transmits incoming radiation with wavelength of more than 3 micrometer by cutting off shorter wavelengths.

Skin Temperature is measured by radiation thermometer.

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”,

Dew Point Temperature is 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 is 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 (GEMPAK):

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

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.

USE CONSTRAINTS

Data Policy for Project

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

Disclaimer for Project

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.

ACKNOWLEDGEMENT

Project Acknowledgement

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)."


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This project is supported by "Data Integration & Analysis System" funded by MEXT, Japan
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