CEOP CEOP_AP Pakistan Karakorum Reference Site


1. IDENTIFICATION INFORMATION

Name CEOP CEOP_AP Pakistan Karakorum Reference Site
Metadata Identifier CEOP_AP_Pakistan_Karakorum20181214125208-DIAS20180903143952-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-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

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 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

4. 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

5. DATE OF THIS DOCUMENT

2018-12-14

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 of kilometers 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 of peoples downstream. The Central Karakorum ecosystem in the Northern area of Pakistan is endowed with 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 is 3000 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 mountain surrounding 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)

  • climatologyMeteorologyAtmosphere

7.3 Temporal Extent

Begin Date 2004-06-17 00:00:00
End Date 2008-12-31 23:59:59
Temporal Characteristics Hourly

7.4 Geographic Bounding Box

North bound latitude 36.000000
West bound longitude 73.000000
Eastbound longitude 77.000000
South bound latitude 34.000000

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

7.8 Online Resource

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

Air temperature, relative humidity, solar radiation and atmospheric pressure are averaged over the previous hour. Precipitation is accumulated on 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.

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 the flag “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;

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 processing techniques used

9. DATA REMARKS

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

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 of food risk to hydropower schemes, research for GTZ/WAPDA.

Baudo R., G. Tartari and E. Vuillermoz (2007) Mountains witnesses of global changes. Research in the Himalayas and Karakoram: SHARE- Asia project. Elvesier, Development in Earth Surface Processes, 10: 342 pp.

Mayer C., A. Lambrecht, M. Belò, C. Smiraglia and G. Diolaiuti (2006) Glaciological characteristics of 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 and G. Tartari, (2008) Spatial distribution of debris thickness and melting from remote-sensing and meteorological 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 ablation and 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. Belò and G. Vassena (2007) Ongoing variations of Himalayan and Karakoram glaciers as witnesses of global changes: recent studies of selected glaciers. Developments in Earth Surface Processes, 10, 235-248.

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