• Catalogue PIGMA
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Snow and ice mass, thickness and extent | Coverage (by area) of ice on the water body by image analysis | National Snow & Ice Data Center USA | Multisensor analyzed sea ice extend – Northern Hemisphere 4 km

Simple

Alternate title
Multisensor analyzed sea ice extend – Northern Hemisphere 4 km
Date
Identifier
Snow and ice mass, thickness and extent | Coverage (by area) of ice on the water body by image analysis | National Snow & Ice Data Center USA | Multisensor analyzed sea ice extend – Northern Hemisphere 4 km
Other citation details
Multisensor analyzed sea ice extend – Northern Hemisphere 4 km
Purpose
Estimate the sea ice extend
Status
onGoing On going
Originator
  National Snow & Ice Data Center USA
http://nsidc.org
edmo
  National Snow & Ice Data Center USA
http://nsidc.org
Maintenance and update frequency
Continual
Used by challenges
  • BlackSea - CH04 - Climate
Environmental matrix
  • Marine water
Production mode
  • Delayed
Visibility
  • Use of open search engines, searching by name either the data provider or the characteristics
Policy visibility
  • There is detailed information provided to understand data policy
Readyness
  • Format not proprietary and content clearly specified (e.g. autodescriptive like ODV, NetCDF CF) or at least with appropriate document describing the content
Parameter Discovery Vocabulary (P02)
  • Snow and ice mass, thickness and extent
GEMET - INSPIRE themes, version 1.0
  • Oceanographic geographical features
Processing level of characteristics
  • High level analyzed
Data delivery mechanisms
  • Online discovery and downloading services
Parameter Usage Vocabulary (P01)
  • Coverage (by area) of ice on the water body by image analysis
Parameter Usage Vocabulary (other)
  • Multisensor analyzed sea ice extend – Northern Hemisphere 4 km
Agreed Parameter Groups (P03)
  • Cryosphere
Service extent
  • The datasets are referenced in a public national catalogue, in an international catalogue service
Access constraints
Other restrictions
Other constraints
Unrestricted
Use limitation
Open and Free. No charge
Spatial representation type
vector Vector
Distance
4  km
Metadata language
Français
Character set
utf8 UTF8
Topic category
  • Oceans
Environment description
The data will be used to estimate the trend in the Black sea ice cover extend for the last 10 years
N
S
E
W
thumbnail


Begin date
2006-01-10

Vertical extent

Minimum value
0
Maximum value
0
Number of dimensions
0
Dimension name
Time
Resolution
1  day
Transformation parameter availability
Yes
Checkpoint Availability
Yes
Distribution format
  • Ascii ()

  • ESRI Shapefile ()

  • GeoTIFF ()

  • PNG ()

OnLine resource
NSIDC data catalogue ( WWW:LINK )
OnLine resource
MASIE-NH 4 km ( WWW:LINK )
Hierarchy level
Dataset

Domain consistency

Name of measure
Responsiveness

Quantitative result

Value
Online downloading (i.e. a few hours or less) for release

Domain consistency

Name of measure
Reliability

Quantitative result

Statement
http://nsidc.org/data/masie/index.html
Hierarchy level
datasetComponent
Other
BLACKSEA_CH4_Product_10
N
S
E
W
thumbnail


Begin date
2006-01-01
End date
2015-12-31 After

Vertical extent

Minimum value
0
Maximum value
0

Completeness omission

Name of measure
Horizontal Spatial Coverage
Measure identification
AP.1.1
Measure description
Horizontal coverage extent of product (eg : surface of the Mediterranean Sea)

Quantitative result

Value type
Real
Value
436402

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
Black Sea area

Completeness omission

Name of measure
Vertical Spatial Coverage
Measure identification
AP.1.2
Measure description
Vertical coverage extent of product

Quantitative result

Value type
Real
Value
0

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
at surface

Completeness omission

Name of measure
Temporal Coverage
Measure identification
AP.1.3
Measure description
Temporal coverage extent of product

Quantitative result

Value type
Integer
Value
3652

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
10 years

Completeness omission

Name of measure
Number of items
Measure identification
AP.1.4
Measure description
Count of all items in the dataset or sample. Describe the items which are counted. If the number is determined by sampling unit (density), define the sampling unit (eg size of mesh).

Quantitative result

Value type
Integer
Value
1

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00

Conceptual consistency

Name of measure
Number of Characteristics
Measure identification
AP.2.1
Measure description
Number of characteristics in product

Quantitative result

Value type
Integer

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00

Thematic classification correctness

Name of measure
Horizontal resolution
Measure identification
AP.3.1
Measure description
Horizontal mesh size or equivalent value for the given scale of product (eg 50m for 1/50 000)

Quantitative result

Value type
Integer
Value
4000

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
4 km

Thematic classification correctness

Name of measure
Vertical resolution
Measure identification
AP.3.2
Measure description
Average vertical sampling

Quantitative result

Value type
Real
Value
0

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
at surface

Thematic classification correctness

Name of measure
Temporal resolution
Measure identification
AP.3.3
Measure description
Temporal sampling interval of product

Quantitative result

Value type
Real
Value
1

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
daily

Quantitative attribute accuracy

Name of measure
Thematic accuracy
Measure identification
AP.3.4
Measure description
Percentage error of the product and description of error concept for the product (100 words max) provided by expert

Quantitative result

Value type
Percentage
Value
50

Temporal validity

Name of measure
Temporal validity
Measure identification
AP.4.1
Measure description
Max elapsed time between last input data records update and product creation date. Minimum value 1/24 day.

Quantitative result

Value type
Integer
Value
1

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
daily
Statement
http://nsidc.org/data/masie/index.html
Hierarchy level
datasetComponent
Other
BLACKSEA_CH04_Product_17
N
S
E
W
thumbnail


Begin date
2006-01-01
End date
2017-12-31 After

Vertical extent

Minimum value
0
Maximum value
0

Completeness omission

Name of measure
Horizontal Spatial Coverage
Measure identification
AP.1.1
Measure description
Horizontal coverage extent of product (eg : surface of the Mediterranean Sea)

Quantitative result

Value type
Real
Value
436402

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
Black Sea area

Completeness omission

Name of measure
Vertical Spatial Coverage
Measure identification
AP.1.2
Measure description
Vertical coverage extent of product

Quantitative result

Value type
Real
Value
0

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
at surface

Completeness omission

Name of measure
Temporal Coverage
Measure identification
AP.1.3
Measure description
Temporal coverage extent of product

Quantitative result

Value type
Integer
Value
4380

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
12 years

Completeness omission

Name of measure
Number of items
Measure identification
AP.1.4
Measure description
Count of all items in the dataset or sample. Describe the items which are counted. If the number is determined by sampling unit (density), define the sampling unit (eg size of mesh).

Quantitative result

Value type
Integer
Value
1

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00

Conceptual consistency

Name of measure
Number of Characteristics
Measure identification
AP.2.1
Measure description
Number of characteristics in product

Quantitative result

Value type
Integer

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
2

Thematic classification correctness

Name of measure
Horizontal resolution
Measure identification
AP.3.1
Measure description
Horizontal mesh size or equivalent value for the given scale of product (eg 50m for 1/50 000)

Quantitative result

Value type
Integer
Value
4000

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
4 km

Thematic classification correctness

Name of measure
Vertical resolution
Measure identification
AP.3.2
Measure description
Average vertical sampling

Quantitative result

Value type
Real
Value
0

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
only at surface

Thematic classification correctness

Name of measure
Temporal resolution
Measure identification
AP.3.3
Measure description
Temporal sampling interval of product

Quantitative result

Value type
Real
Value
1

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
daily

Quantitative attribute accuracy

Name of measure
Thematic accuracy
Measure identification
AP.3.4
Measure description
Percentage error of the product and description of error concept for the product (100 words max) provided by expert

Quantitative result

Value type
Percentage
Value
50

Temporal validity

Name of measure
Temporal validity
Measure identification
AP.4.1
Measure description
Max elapsed time between last input data records update and product creation date. Minimum value 1/24 day.

Quantitative result

Value type
Integer
Value
1

gmd:DQ_DescriptiveResult

Date / Time
2017-09-19T00:00:00
Statement
daily
Statement
http://nsidc.org/data/masie/index.html

Completeness omission

Name of measure
Horizontal spatial coverage compliance
Measure identification
UD.APE.1.1
Measure description

Percentage to which the extent of the horizontal spatial

coverage of the selected input data is not compliant with the DPS extent in km**2

(UD_AP_1_1 - DPS_AP_1_1)*100/DPS_AP_1_1

Quantitative result

Value type
Percentage
Value
0

Completeness omission

Name of measure
Horizontal spatial coverage fitness for use error
Measure identification
UD.FU.1.1
Measure description

Combination of the errors of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Value
0

Completeness omission

Name of measure
Vertical spatial coverage compliance
Measure identification
UD.APE.1.2
Measure description

Percentage to which the vertical coverage of the selected

input data is not compliant with the DPS coverage extent in metres

(UD_AP_1_2 - DPS_AP_1_2)*100/DPS_AP_1_2

Quantitative result

Value type
Percentage

Completeness omission

Name of measure
Vertical spatial coverage fitness for use error
Measure identification
UD.FU.1.2
Measure description

Combination of the errors of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Completeness omission

Name of measure
Temporal coverage compliance
Measure identification
UD.APE.1.3
Measure description

Percentage to which the time coverage of the selected input data is compliant with the DPS coverage extent in days

(UD_AP_1_3 - DPS_AP_1_3)*100/DPS_AP_1_3

Quantitative result

Value type
Percentage
Value
0

Completeness omission

Name of measure
Temporal coverage fitness for use error
Measure identification
UD.FU.1.3
Measure description

Combination of the errors of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Value
0

Completeness omission

Name of measure
Number of items compliance
Measure identification
UD.APE.1.4
Measure description

Percentage to which the number of items of the selected input data is compliant with the DPS number of items in days

(UD_AP_1_4 - DPS_AP_1_4)*100/DPS_AP_1_4

Quantitative result

Value type
Percentage
Value
0

Completeness omission

Name of measure
Error count fitness for use error
Measure identification
UD.FU.1.4
Measure description

Combination of the errors of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Value
0

Thematic classification correctness

Name of measure
Horizontal resolution compliance
Measure identification
UD.APE.3.1
Measure description

Percentage to which the horizontal resolution or equivalent scale value (eg 50 m for map scale of 1/50 000) data

or mean horizontal sampling interval of the selected input data is compliant not with the DPS horizontal

resolution

(DPS_AP_3_1 - UD_AP_3_1)*100/DPS_AP_3_1

Quantitative result

Value type
Percentage
Value
20

Thematic classification correctness

Name of measure
Horizontal resolution fitness for use error
Measure identification
UD.FU.3.1
Measure description

Combination of the errors of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Value
20

Thematic classification correctness

Name of measure
Vertical resolution compliance
Measure identification
UD.APE.3.2
Measure description

Percentage to which the vertical sampling interval of the selected input data is not compliant with the DPS

vertical resolution

(DPS_AP_3_2 - UD_AP_3_2)*100/DPS_AP_3_2

Quantitative result

Value type
Percentage

Thematic classification correctness

Name of measure
Vertical resolution fitness for use error
Measure identification
UD.FU.3.2
Measure description

Combination of the errors of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Thematic classification correctness

Name of measure
Temporal resolution compliance
Measure identification
UD.APE.3.3
Measure description

Percentage to which the temporal sampling interval

is not compliant with the DPS temporal sampling interval

(DPS_AP_3_3-UD_AP_3_3)*100/DPS_AP_3_3

Quantitative result

Value type
Percentage
Value
0

Thematic classification correctness

Name of measure
Temporal resolution fitness for use error
Measure identification
UD.FU.3.3
Measure description

Combination of the error of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Value
0

Quantitative attribute accuracy

Name of measure
Thematic accuracy compliance
Measure identification
UD.APE.3.4
Measure description

Compliance of the value domain of

the accuracy of the selected input data with the value domain of the accuracy defined in DPS (% extracted from

thematic accuracy description)

UD_AP_3_4

Quantitative result

Value type
Percentage
Value
50

Quantitative attribute accuracy

Name of measure
Thematic accuracy fitness for use error
Measure identification
UD.FU.3.4
Measure description

Combination of the error of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Value
50

Temporal validity

Name of measure
Temporal validity compliance
Measure identification
UD.APE.4.1
Measure description

Percentage to which the elapsed time between last selected input data record update is not compliant with the max

elapsed time specified in DPS

(DPS_AP_4_1 - UD_AP_4_1)*100/DPS_AP_4_1

Quantitative result

Value type
Percentage
Value
96.66666666666667

Temporal validity

Name of measure
Temporal validity fitness for use error
Measure identification
UD.FU.4.1
Measure description

Combination od errors of extent to which

the elapsed time between last selected input data record update and the product creation date is compliant with

the max elapsed time specified in DPS

Value
96.66666666666667
Statement
http://nsidc.org/data/masie/index.html

Completeness omission

Name of measure
Horizontal spatial coverage compliance
Measure identification
UD.APE.1.1
Measure description

Percentage to which the extent of the horizontal spatial

coverage of the selected input data is not compliant with the DPS extent in km**2

(UD_AP_1_1 - DPS_AP_1_1)*100/DPS_AP_1_1

Quantitative result

Value type
Percentage
Value
0

Completeness omission

Name of measure
Horizontal spatial coverage fitness for use error
Measure identification
UD.FU.1.1
Measure description

Combination of the errors of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Value
0

Completeness omission

Name of measure
Vertical spatial coverage compliance
Measure identification
UD.APE.1.2
Measure description

Percentage to which the vertical coverage of the selected

input data is not compliant with the DPS coverage extent in metres

(UD_AP_1_2 - DPS_AP_1_2)*100/DPS_AP_1_2

Quantitative result

Value type
Percentage

Completeness omission

Name of measure
Vertical spatial coverage fitness for use error
Measure identification
UD.FU.1.2
Measure description

Combination of the errors of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Completeness omission

Name of measure
Temporal coverage compliance
Measure identification
UD.APE.1.3
Measure description

Percentage to which the time coverage of the selected input data is compliant with the DPS coverage extent in days

(UD_AP_1_3 - DPS_AP_1_3)*100/DPS_AP_1_3

Quantitative result

Value type
Percentage
Value
-88

Completeness omission

Name of measure
Temporal coverage fitness for use error
Measure identification
UD.FU.1.3
Measure description

Combination of the errors of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Value
-88

Completeness omission

Name of measure
Number of items compliance
Measure identification
UD.APE.1.4
Measure description

Percentage to which the number of items of the selected input data is compliant with the DPS number of items in days

(UD_AP_1_4 - DPS_AP_1_4)*100/DPS_AP_1_4

Quantitative result

Value type
Percentage
Value
0

Completeness omission

Name of measure
Error count fitness for use error
Measure identification
UD.FU.1.4
Measure description

Combination of the errors of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Value
0

Thematic classification correctness

Name of measure
Horizontal resolution compliance
Measure identification
UD.APE.3.1
Measure description

Percentage to which the horizontal resolution or equivalent scale value (eg 50 m for map scale of 1/50 000) data

or mean horizontal sampling interval of the selected input data is compliant not with the DPS horizontal

resolution

(DPS_AP_3_1 - UD_AP_3_1)*100/DPS_AP_3_1

Quantitative result

Value type
Percentage
Value
20

Thematic classification correctness

Name of measure
Horizontal resolution fitness for use error
Measure identification
UD.FU.3.1
Measure description

Combination of the errors of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Value
20

Thematic classification correctness

Name of measure
Vertical resolution compliance
Measure identification
UD.APE.3.2
Measure description

Percentage to which the vertical sampling interval of the selected input data is not compliant with the DPS

vertical resolution

(DPS_AP_3_2 - UD_AP_3_2)*100/DPS_AP_3_2

Quantitative result

Value type
Percentage

Thematic classification correctness

Name of measure
Vertical resolution fitness for use error
Measure identification
UD.FU.3.2
Measure description

Combination of the errors of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Thematic classification correctness

Name of measure
Temporal resolution compliance
Measure identification
UD.APE.3.3
Measure description

Percentage to which the temporal sampling interval

is not compliant with the DPS temporal sampling interval

(DPS_AP_3_3-UD_AP_3_3)*100/DPS_AP_3_3

Quantitative result

Value type
Percentage
Value
0

Thematic classification correctness

Name of measure
Temporal resolution fitness for use error
Measure identification
UD.FU.3.3
Measure description

Combination of the error of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Value
0

Quantitative attribute accuracy

Name of measure
Thematic accuracy compliance
Measure identification
UD.APE.3.4
Measure description

Compliance of the value domain of

the accuracy of the selected input data with the value domain of the accuracy defined in DPS (% extracted from

thematic accuracy description)

UD_AP_3_4

Quantitative result

Value type
Percentage
Value
50

Quantitative attribute accuracy

Name of measure
Thematic accuracy fitness for use error
Measure identification
UD.FU.3.4
Measure description

Combination of the error of the product

component Cn with the error of the selected input data set Ud Cn used for this component

Value
50

Temporal validity

Name of measure
Temporal validity compliance
Measure identification
UD.APE.4.1
Measure description

Percentage to which the elapsed time between last selected input data record update is not compliant with the max

elapsed time specified in DPS

(DPS_AP_4_1 - UD_AP_4_1)*100/DPS_AP_4_1

Quantitative result

Value type
Percentage
Value
96.66666666666667

Temporal validity

Name of measure
Temporal validity fitness for use error
Measure identification
UD.FU.4.1
Measure description

Combination od errors of extent to which

the elapsed time between last selected input data record update and the product creation date is compliant with

the max elapsed time specified in DPS

Value
96.66666666666667
Statement
http://nsidc.org/data/masie/index.html
Attribute description
observation
Content type
Physical measurement
Description
0
File identifier
7686d20a-903d-49ad-aa56-be8673dcaad2 XML
Metadata language
English
Character set
UTF8
Hierarchy level
Series
Hierarchy level name
BlackSea - CH04 - Climate
Date stamp
2018-01-11T13:30:41Z
Metadata standard name
ISO 19115-3 - Emodnet Checkpoint - Upstream Data
Metadata standard version
1.0
 
 
 

Overviews

overview

Spatial extent

N
S
E
W
thumbnail


N
S
E
W
thumbnail


N
S
E
W
thumbnail


Keywords

Data delivery mechanisms
Online discovery and downloading services
Environmental matrix
Marine water
GEMET - INSPIRE themes, version 1.0
Oceanographic geographical features
Parameter Usage Vocabulary (other)
Multisensor analyzed sea ice extend – Northern Hemisphere 4 km
Policy visibility
There is detailed information provided to understand data policy
Processing level of characteristics
High level analyzed
Production mode
Delayed
Readyness
Format not proprietary and content clearly specified (e.g. autodescriptive like ODV, NetCDF CF) or at least with appropriate document describing the content
Service extent
The datasets are referenced in a public national catalogue, in an international catalogue service
Used by challenges
BlackSea - CH04 - Climate
Visibility
Use of open search engines, searching by name either the data provider or the characteristics

Provided by

logo
Access to the portal
Read here the full details and access to the data.

Associated resources

Not available


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