CEOP CAMP Himalayas Reference Site
1. IDENTIFICATION INFORMATIONName

CEOP CAMP Himalayas Reference Site

Metadata
Identifier

CEOP_CAMP_Himalayas20230727060140-DIAS20221121113753-en

2. CONTACT
2.1 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-mailtartari@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-mailvuillemoz@evk2cnr.org

2.2 CONTACT on PROJECT
2.2.1 Data Integration and Analysis System
Name

DIAS Office

Organization

Japan Agency for Marine-Earth Science and Technology

Address

3173-25, Showa-Cho, Kanazawa-ku, Yokohama-shi, Kanagawa, 236-0001, Japan

E-maildias-office@diasjp.net

3. DOCUMENT AUTHOR
Name

Gianni Tartari

Organization

CNR-IRSA / Ev-K2-CNR Committee

E-mailtartari@irsa.cnr.it

Name

Elisa Vuillermoz

Organization

Ev-K2-CNR Committee

1E-mailvuillemoz@evk2cnr.org

4. DATASET CREATOR
Name

Gianni Tartari

Organization

CNR-IRSA / Ev-K2-CNR Committee

E-mailtartari@irsa.cnr.it

Name

Elisa Vuillermoz

Organization

Ev-K2-CNR Committee

E-mailvuillemoz@evk2cnr.org

5. DATE OF THIS DOCUMENT
2023-07-27

6. DATE OF DATASET
�creation : 2010-05-06
�revision : 2011-11-22

7. DATASET OVERVIEW
7.1 Abstract
Intensive meteorological observations in the Khumbu Valley, Nepal Himalayas, havebeen 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. Thisarea, being located on the windward side of the Range with respect to the Indianmonsoon, 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 largescale circulation. A network of Automated Weather Stations (AWSs) has been establishedin the Eastern Himalayas: the AWSs are located at different altitudes, over a 40 km
stretch oriented approximately south to north.

7.2 Topic Category(ISO19139)
�climatologyMeteorologyAtmosphere

7.3 Temporal Extent
Begin Date

2002-10-01 00:00:00

2

End Date2009-12-31 23:59:59

Temporal
Characteristics

Hourly7.4 Geographic Bounding Box
Northlatitudebound 27.700000

West
longitudebound 86.720000

Eastboundlongitude

86.820000

South
latitudebound 27.960000

7.5 Grid
7.6 Geographic Description
7.7 Keywords
7.7.1 Keywords on Dataset
Keyword Type

Keyword

Keyword
Name

theme

Climate, Water

GEOSS

thesaurus

7.7.2 Keywords on Project
7.7.2.1 Data Integration and Analysis System
Keyword Type

Keyword

KeywordNametheme

DIAS &amp;gt; Data Integration and Analysis System

No_Dictionary

7.8 Online Resource
�: http://www.eol.ucar.edu/projects/ceop/dm/insitu/sites/ceop_ap/Himalayas/Pyramid/
�: http://www.eol.ucar.edu/projects/ceop/dm/insitu/sites/ceop_ap/Himalayas/Lukla/
�: http://www.eol.ucar.edu/projects/ceop/dm/insitu/sites/ceop_ap/Himalayas/Namche/
�: http://www.eol.ucar.edu/projects/ceop/dm/insitu/sites/ceop_ap/Himalayas/Pheriche/
�: http://www.eol.ucar.edu/projects/ceop/dm/insitu/sites/ceop_ap/Himalayas/Syangboche/�file download : https://data.diasjp.net/dl/storages/filelist/dataset:113

3

thesaurus

7.9 Data Environmental Information
7.10 Distribution Information
nameversionspecification

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 thelineage 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 anddirection 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.

8.1.2 Data Source
Data Source Citation Name

Description of derived parameters and processing
techniques used

9. DATA REMARKS
10. DATA POLICY
10.1 Data Policy by the Data Provider
1. No financial implications are involved for the CEOP reference site data exchange.
2. Commercial use and exploitation of CEOP reference site data is prohibited.
3. Any re-export or transfer of the original data received from the CDA archive to a third party
is prohibited.
4. The origin of CEOP reference site data being used for publication of scientific results mustbe acknowledged and referenced in the publication.
5. CEOP reference site data users are strongly encouraged to establish direct contact with data
providers for complete interpretation and analysis of data for publication purposes.

46. Co-authorship of data users and CEOP reference site Principle Investigators on papers making
extensive use of CEOP data is justifiable and highly recommended.
see http://www.eol.ucar.edu/projects/ceop/dm/documents/ceop_policy.html

10.2 Data Policy by the Project
10.2.1 Data Integration and Analysis System
If data provider does not have data policy, DIAS Terms of Service (https://diasjp.net/en/terms/)
and DIAS Privacy Policy (https://diasjp.net/en/privacy/) apply.
If there is a conflict between DIAS Terms of Service and data provider's policy, the data provider'spolicy shall prevail.

11. LICENSE
12. DATA SOURCE ACKNOWLEDGEMENT
12.1 Acknowledge the Data Provider
A minimum requirement is to reference CEOP as:
The in-situ data is provided under the framework of the "Coordinated Energy and Water Cycle
Observations Project (CEOP)."for the Coordinated Energy and Water Cycle Observations Project data (2005), and as:
The satellite data is provided under the framework of the "Coordinated Enhanced Observing Period(CEOP)."for the Coordinated Enhanced Observing Period data (2001 - 2004).

12.2 Acknowledge the Project
12.2.1 Data Integration and Analysis System
If you plan to use this dataset for a conference presentation, paper, journal article, or reportetc., please include acknowledgments referred to following examples. If the data provider describes
examples of acknowledgments, include them as well.
" In this study, [Name of Dataset] provided by [Name of Data Provider] was utilized. This dataset
was also collected and provided under the Data Integration and Analysis System (DIAS), which wasdeveloped and operated by a project supported by the Ministry of Education, Culture, Sports, Scienceand Technology. "13. 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 ResearchCouncil through the Ev-K2-CNR Committee.
Ueno K., and A. P. Pokhrel, 2002: Intra-seasonal air temperature variation in the Nepal

5

Himalayas, Mausam, 53, 281-288.
Bollasina, M., L. Bertolani, and G. Tartari, 2002: Meteorological observations in theKhumbu 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 PyramidLaboratory. In: A. Lami, R. Mosello, G. Giussani (Eds), Limnology of high altitudein 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.

6