CEOP CEOP_AP Pakistan
Karakorum Reference Site
1. IDENTIFICATION INFORMATIONName

CEOP CEOP_AP Pakistan Karakorum Reference Site

Metadata
Identifier

CEOP_AP_Pakistan_Karakorum20230727061016-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

1NameElisa Vuillermoz

Organization

Ev-K2-CNR Committee

E-mailvuillemoz@evk2cnr.org

4. DATASET CREATOR
NameGianni Tartari

Organization

CNR-IRSA / Ev-K2-CNR Committee

E-mailtartari@irsa.cnr.it

NameElisa Vuillermoz

Organization

Ev-K2-CNR Committee

E-mailvuillemoz@evk2cnr.org

5. DATE OF THIS DOCUMENT
2023-07-27

6. DATE OF DATASET
�creation : 2010-08-13
�revision : 2011-11-22

7. DATASET OVERVIEW
7.1 Abstract
The HKKH mountain ranges are extraordinarily high mountain chains, spanning over thousands ofkilometers across 6 South Asian countries and encompassing an extensive diversity of flora and fauna,unparalleled natural beauty and many varied cultures. They harbour some of the world.s richest but
atmospherically, climatically, geologically and ecologically sensitive and fragile environments
and biodiversity, and many protected areas of profound importance are in these mountain regions.
The glaciers in these mountains feed most of the major river systems in the region (Ganges, Indus,Brahmaputra, Salween, Mekong, Yangtze and Yellow Rivers) - lifeline for hundreds of millions ofpeoples downstream. The Central Karakorum ecosystem in the Northern area of Pakistan is endowedwith rich floral and faunal biodiversities, natural beauty and other natural resources such as
forest resources.
Askole is the last village on the route to the Baltoro Glacier and K2. It.s average elevation is3000 m a.s.l., the village is on the right side of the valley and just north of the main river,on a moraine highland with small inclination toward the river, where local people carry out little
agriculture. The station is on the lower, southern part of the moraine platform, near the edge
above the river, and has open visibility toward East (valley upward), West (valley downward),
South (in front of opposite side of the valley) and North (leading to the slopes of the mountainsurrounding the village). The installation is located about 200 meters south from the Lorenzo
Mazzoleni Dispensary in the middle of the cultivated area, protected by a resistant fencing.

7.2 Topic Category(ISO19139)
�climatologyMeteorologyAtmosphere2

7.3 Temporal Extent
Begin Date

2004-06-17 00:00:00

End Date

2008-12-31 23:59:59

Temporal
Characteristics

Hourly7.4 Geographic Bounding BoxNorth
latitudebound 36.000000

Westlongitude

bound 73.000000

Eastboundlongitude

77.000000

Southlatitude

bound 34.000000

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

KeywordName

thesaurus

theme

DIAS &amp;gt; Data Integration and Analysis System

No_Dictionary

7.8 Online Resource
�CEOP_AP Pakistan Karakorum Surface Meteorology and Radiation Data Set : http://data.eol.ucar.edu/codiac/dss/id?76.200
�Pakistan Karakorum Reference Site Askole Station : http://www.eol.ucar.edu/projects/ceop/dm/
insitu/sites/ceop_ap/Pakistan/Askole/
�Pakistan Karakorum Reference Site Urdukas Station : http://www.eol.ucar.edu/projects/ceop/dm/
insitu/sites/ceop_ap/Pakistan/Urdukas/3

�file download : https://data.diasjp.net/dl/storages/filelist/dataset:126

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
Air temperature, relative humidity, solar radiation and atmospheric pressure are averaged over theprevious hour. Precipitation is accumulated on the previous hour. Wind speed and direction are theresulting average speed and direction over the previous hour (calculated by the datalogger by meansof data recorded every 5 seconds): this to minimize data unreliability due to sudden gusts. Bothof them are calculated weighting the frequency distribution of both variables within each hour.
The three parameters indicated below were computed by using “CEOP Derived Parameter Equations”
available at: http://www.joss.ucar.edu/ghp/ceopdm/refdata_report/eqns.html. These data have theflag “I”. In the case of calculated by using dubious value flagged “D”, the data flag was put D”.
Dew Point Temperature was 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 was 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;

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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;

8.1.2 Data Source
Data Source Citation Name

Description of derived parameters and processingtechniques 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.
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
5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 Committee, thanks
to contributions of the Italian National Research Council, the Italian Ministry of Foreign Affairs
and the Italian Ministry of University and Reseach.
Archer D.R. (2001) The climate and hydrology of northern Pakistan with respect to assessment offood risk to hydropower schemes, research for GTZ/WAPDA.
Baudo R., G. Tartari and E. Vuillermoz (2007) Mountains witnesses of global changes. Research inthe Himalayas and Karakoram: SHARE- Asia project. Elvesier, Development in Earth Surface Processes,
10: 342 pp.
Mayer C., A. Lambrecht, M. Bel�, C. Smiraglia and G. Diolaiuti (2006) Glaciological characteristicsof the ablation zone of Baltoro Glacier, Karakorum. Annals of Glaciology, 43, 123-131.
Mihalcea C., C. Mayer, G. Diolaiuti, C. D’Agata, C. Smiraglia, A. Lambrecht, E. Vuillermoz andG. Tartari, (2008) Spatial distribution of debris thickness and melting from remote-sensing andmeteorological data, at debris-covered Baltoro glacier, Karakoram, Pakistan. Annals of Glaciology,
48, 49-57.
Mihalcea C., C. Mayer, G. Diolaiuti, A. Lambrecht, C. Smiraglia and G. Tartari (2006) Ice ablationand meteorological conditions on the debris covered area of Baltoro Glacier (Karakoram, Pakistan).
Annals of Glaciology, 43, 292-300.
Smiraglia C., C. Mayer, C. Mihalcea, G. Diolaiuti, M. Bel� and G. Vassena (2007) Ongoing variationsof Himalayan and Karakoram glaciers as witnesses of global changes: recent studies of selectedglaciers. Developments in Earth Surface Processes, 10, 235-248.

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