CEOP CAMP Himalayas Reference Site


IDENTIFICATION INFORMATION

Name CEOP CAMP Himalayas Reference Site
Metadata Identifier CEOP_CAMP_Himalayas20181214124737-DIAS20180903143952-en

CONTACT

CONTACT on DATASET

Name Gianni Tartari
Organization CNR-IRSA / Ev-K2-CNR Committee
Address Via San Bernardino, 145 , Bergamo, 24126 , Italy
TEL +39/035/3230513
FAX +39/035/3230551
E-mail tartari@irsa.cnr.it
Name Elisa Vuillermoz
Organization Ev-K2-CNR Committee
Address Via San Bernardino, 145 , Bergamo, 24126 , Italy
TEL +39/035/3230513
FAX +39/035/3230551
E-mail vuillemoz@evk2cnr.org

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 Gianni Tartari
Organization CNR-IRSA / Ev-K2-CNR Committee
E-mail tartari@irsa.cnr.it
Name Elisa Vuillermoz
Organization Ev-K2-CNR Committee
E-mail vuillemoz@evk2cnr.org

DATASET CREATOR

Name Gianni Tartari
Organization CNR-IRSA / Ev-K2-CNR Committee
E-mail tartari@irsa.cnr.it
Name Elisa Vuillermoz
Organization Ev-K2-CNR Committee
E-mail vuillemoz@evk2cnr.org

DATE OF THIS DOCUMENT

2018-12-14

DATE OF DATASET

  • creation : 2010-05-06

  • revision : 2011-11-22

DATASET OVERVIEW

Abstract

Intensive meteorological observations in the Khumbu Valley, Nepal Himalayas, have

been conducted since the middle 90's (Ueno et al., 1996; Tartari et al., 1999;

Bertolani et al., 2000; Ueno et al., 2001; Bollasina et al., 2002; Ueno and Pokhrel,

2002) in order to provide long-term monitoring of the monsoon at high altitude. This

area, being located on the windward side of the Range with respect to the Indian

monsoon, is well exposed to the summer winds. The studies conducted have demonstrated

that the region is a significant point of observation both of local climate and large-

scale circulation. A network of Automated Weather Stations (AWSs) has been established

in the Eastern Himalayas: the AWSs are located at different altitudes, over a 40 km

stretch oriented approximately south to north.

Topic Category(ISO19139)

  • climatologyMeteorologyAtmosphere

Temporal Extent

Begin Date 2002-10-01 00:00:00
End Date 2009-12-31 23:59:59
Temporal Characteristics Hourly

Geographic Bounding Box

North bound latitude 27.700000
West bound longitude 86.720000
Eastbound longitude 86.820000
South bound latitude 27.960000

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

Temperature, relative humidity and solar radiation are instantaneous values.

Precipitation is accumulated on the previous hour. Atmospheric pressure is averaged

over the previous hour. Wind speed and direction are the resulting average speed and

direction over the previous hour (calculated by the datalogger by means of data

recorded every 5 seconds): this to minimize data unreliability due to sudden gusts.

Both of them are calculated weighting the frequency distribution of both variables

within each hour.

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)."

REFERENCES

Original data was collected and is provided within the framework of the Ev-K2-CNR/RONAST Joint Scientific and Technological Research Project, funded by Italian Ministries and National Research Council through the Ev-K2-CNR Committee.

Ueno K., and A. P. Pokhrel, 2002: Intra-seasonal air temperature variation in the Nepal

Himalayas, Mausam, 53, 281-288.

Bollasina, M., L. Bertolani, and G. Tartari, 2002: Meteorological observations in the

Khumbu Valley, Nepal Himalayas, 1994-1999, Bull. Glac. Res., 19, 1-11.

Ueno K., R. B. Kayastha, M. R. Chitrakar, O. R. Bajracharya, A. P. Pokhrel, H. Fujinami,

T. Kadota, H. Iida, D. P. Manandhar, M. Hattori, T. Yasunari, and M. Nakawo, 2001:

Meteorological observations during 1994-2000 at the Automatic Weather Station (GEN-AWS)

in Khumbu region, Nepal Himalayas, Bull. Glac. Res., 18, 23-30.

Bertolani, L., M. Bollasina, and G. Tartari, 2000: Recent biennial variability of

meteorological features in the Eastern Highland Himalayas, Geophys. Res. Lett., 17,

2185-2188.

Tartari, G., G. P. Verza, and L. Bertolani, 1999: Meteorological data at the Pyramid

Laboratory. In: A. Lami, R. Mosello, G. Giussani (Eds), Limnology of high altitude

in the Khumbu Valley, Nepal. Documenta Ist. Ital. Idrobiol.

Ueno K., H. Iida, H. Yabuki, K. Seko, A. Sakai, G. S. Lhakupa, R. B. Kayastha, A. P.

Pokhrel, M. L. Shrestha, T. Yasunari, and M. Nakawo, 1996: Establishment of the GEN

Automatic Weather Station (AWS) in Khumbu region, Nepal Himalayas, Bull. Glac. Res.,

14, 13-22.


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