=Paper= {{Paper |id=Vol-2790/paper17 |storemode=property |title= New Approaches for Delivery of Data and Information Products to Consumers and External Systems in the Field of Hydrometeorology |pdfUrl=https://ceur-ws.org/Vol-2790/paper17.pdf |volume=Vol-2790 |authors=Evgenii D. Viazilov,Denis A. Melnikov,Alexander S. Mikheev |dblpUrl=https://dblp.org/rec/conf/rcdl/ViazilovMM20 }} == New Approaches for Delivery of Data and Information Products to Consumers and External Systems in the Field of Hydrometeorology == https://ceur-ws.org/Vol-2790/paper17.pdf
 New Approaches for Delivery of Data and Information
Products to Consumers and External Systems in the Field
                 of Hydrometeorology

        Evgenii D. Viazilov 1, Denis A. Melnikov 1, Alexander S. Mikheev 1
                 1 RIHMI-WDC, 6, Koroleva St., 249035. Obninsk, Russia

                                   vjaz@meteo.ru


      Abstract. The delivery of data and information to consumers by subscription
      e-mail or by placing it on an ftp server for further upload to external information
      systems is currently one of the most sought functions of information systems. In
      the field of hydrometeorology, this function is using in individual organizations
      and systems, requires a more systemic approach to its development for
      information support to consumers. An analysis of the methods of delivery data to
      consumers is presenting. The features of data automatic delivery to external
      systems and consumers using the Unified state system of information on the
      condition in the World Ocean are considered. New for hydrometeorology
      approaches automatic delivery of information about the different threats,
      visualizing the state of the current situation indicators in the form of a dashboard,
      the data delivery to external information systems of the enterprises with automatic
      loading into the data bases are proposed. The full implementation of these
      approaches will make it possible to organize the more effective
      hydrometeorological support for consumers. Prospects are development of
      indicators for evaluating the delivery of data (number of consumers are on
      service; number of transferring, etc.).

      Keywords: Threat Identification, Data Transferring, Disaster Indicators.


1 Introduction
A data dissemination system and of information products in the field of
hydrometeorology are standardized at the international level in the framework of the
global telecommunication system (GTS), which operates under the auspices of the
World Meteorological Organization. All countries contribute to the GTS with their
observations and information products based on observed data. The amount of
information circulating in the GTS is tens of GB per day.
    In each country develops its own system of hydrometeorological support (HMS) to
consumers who use observational data, as well as global and regional forecasts issued
by leading centers of forecasting and transferred on the GTS.
    The development of web-technologies has created new opportunities for the
development of HMS. Websites have is created in each hydrometeorological


 Copyright © 2020 for this paper by its authors. Use permitted under Creative
 Commons License Attribution 4.0 International (CC BY 4.0).




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organization. Facilities presentation of dynamic pages are using on many web sites. The
new guide on HMS [4], based on existing methods and tools, identified promising areas
is, of development concerning the use of modern information systems (ISs) the Unified
State System of Information on the Condition in the World Ocean (ESIMO 1) [12] and
"North" [3].
     One of the functions of ESIMO is the delivery of information resources (IRs) by
subscription. The IR - this individual file(s) in ISs (libraries, archives, data bases (DBs),
depositories and others) having same spatial and temporal scales of resolution of the
data, the same data structure; are storing in one organization on one type of medium.
IRs delivery by subscription carried out via e-mail, and through ftp-server for further
use the consumer. To analyze the state of the service by subscription in a system has a
component that monitors the delivery status and prepares corresponding report.
Analysis of reports shows that this function is using not very effectively. This is because
data delivery is carrying out for IR. It is necessary to transfer only those data attributes,
for those areas or points (settlements) that the consumer ordered; data should transfer
to Internet-device of consumers immediately after updating the data. Delivery to
consumers with each delivery of the entire information resource leads to an increase in
the volume of transmitted data, duplication of part of the data previously already
transmitted to the consumer in previous message, the transfer of attributes that are not
needing by the consumer, to difficulties for determining the relevance of the data.
     Subscribing to data delivery is a most sought function of many systems. It is most
acceptable function for most consumers. Subscriptions are usually using for the regular
delivery of data / metadata files or links to geo-services. In order to increase the
effectiveness of HMS for heads of enterprises and the population, it is necessary to
switch to automatic data delivery provided when threshold values of threats indicators
are exceeding.
     “Delivery data and information to consumers is a process consisting in converting
of data flow, information that affects the course of this process into a form that ensures
prompt and error-free perception by the consumer and the direct issuance of
information”. This term are using in standard [2]. In hydrometeorology, the term
"Delivery of data and information" is understood as:
      Transfer of hydrometeorological data to heads of enterprises, representatives of
        public organizations and population on a regular basis.
      Prompt notification of government officials and the public about the emergence
        of threats in the form of natural disasters.
      Interaction of the population and enterprises heads with interactive applications
        to obtain detailed information about the state of the hydrometeorological
        situation.
     The presented research is devoted to the development of these directions. In this
work the first time in hydrometeorology in a single technological complex by
integrated, distributed and heterogeneous data, it is proposed:
      To organize personalized delivery of information about disasters to enterprise
        heads on mobile Internet devices, taking into account local threshold values,



1
    http://esimo.ru – Unified State System of Information on the Condition in the World Ocean




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        levels of dangerous, with the possibility of further automatic data uploading
        directly to enterprise ISs.
       To present the indicators of the hydrometeorological situation in the compact
        form on a dashboard with indication of the level of their danger and visualization
        of graphs of changes in parameters for time.


2 Methods for Delivery of Hydrometeorological Data and
Information to Consumers
In Russia, information is delivery to consumers by research institutions and territorial
offices of Roshydromet carried out in written and electronic forms, as well as in the
form of oral messages through the media. Regular bulletins, reviews, monthly,
yearbooks, and climatic generalizations on the state of the environment are publishing.
    Previously, the delivery of data was carried out by copying paper sources of data
and information, and sending them by regular mail, by fax, by courier. Since the
seventies of the last century, technical media (magnetic tapes, floppy disks, magnetic
cartridges, compact disks, flash drives) have been widely used to data transfer. With the
advent of data telecommunicate capabilities in the nineties; relatively small data
amounts (up to 1 MB) began to transfer and to exchange data by e-mail. A significant
leap forward was the ability to access DBs online in the early 2000s of the 21st century.
At the same time, a subscription service to various news channels appeared. And here
the term "Delivery of news and other information products" has already been used,
when the consumer is given either a file with the news, or a link to the address of the
site where this news is located. That is, consumers in the “self-service” mode receive
information products.
    In Roshydromet such a subscription use only for delivery of the observed and
forecasting information to the consumer's Internet device2. Most consumers prefer to go
to weather websites and choose the forecast date themselves and get an answer for a
specific point. Of course, there are other methods of delivery data and information to
consumers. For example, modern research vessels are equipped with VSAT broadband
satellite communications Iridium NEXT (developed by the Federal State Unitary
Enterprise "Cosmic Communications"), which provides a prompt exchange of
information in real time, including the results of numerical models of meteorological
information processing from forecasting centers.
    The corporate broadcasting network of Roshydromet "Meteoinform" is also using
for data dissemination, which provides data transmission using geostationary
communication satellites. "Meteoinform" is an official member of the WMO Integrated
Global Circular Data Dissemination System based on MITRA (Multiaddress
Information Transmission) technology. Speed of transferring 1 Mbps. This system is
used both by regional divisions of Roshydromet to receive information from data
collection and processing centers, and by large users to obtain complex
hydrometeorological and other information productions.



2
    http://www.meteorf.ru/product/Mobile/




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    Information about disasters is detected by weather forecasters and forecast in the
forecasting centers of Roshydromet 3, and then they are transfer to the Russian
Emergencies Ministry, where this information is distributed to the public via SMS. Such
delivery of data slows down the process of alerting the population and heads of
enterprises.
    Realized in ESIMO4 variant data dissemination is automatic delivery of integrated
data on schedule. This is a subscription and a receiving regular alert about the data
update on e-mail, or the loading of change on the ftp-server. In addition to the
subscription user can downloads data is, after them of visualization by the web-portal.
IRs are not always updated with that frequency, with which the set schedule for them
transferring. Between previous and next, nearest to him point in time on the schedule,
can occur a change in the metadata (but no updating of data), that is means of data
delivery will acting idle. When IR updated, than is adding just only one or a few records,
and the unit of IR storage and transmission of data is a set of records for a specified
period of time (day, ten days, a month, etc.). Not less important with the point of view
of optimizing the transferred volume of data, so and reduce of the information noise, is
renouncement from the subscription on attributes, which no need.
    Scheduled delivery leads to the following situations:
     Some IRs updated regularly and no always in a declared time, pointed in the
        metadata. It can happen after a session of data transferring, then have until the
        next session in the consumer this IR will be irrelevant, which leads to the use of
        irrelevant data. For example, a storm warning may appear in any moment, and
        the transfer of warning shall be made immediately after the receipt of such
        message. However, update IR takes place one time in 10 minutes. That is, the
        system already has a delay up to 10 minutes. The less frequently of data delivery
        schedule, the more likely such a situation.
     Business users do not control the relevance of data and getting information about
        what data were transferred, produce their action on their further processing.
     Volume of data transmitted in the framework of a single session of transferring,
        may be very large (e.g., data of short-term prediction basic meteorological
        parameters are several to 10 GB). Of time before begin following the
        transmission simply not enough for processing of received data (only download
        in the DB can hold up to one hour). As a result, some IRs reach to the consumer
        with a significant delay, but consumers will be confident in the fact that they
        received a relevant data.
    The most important requirements for subscribing to data are the ensuring guaranteed
data delivery and monitoring of this process, which allows to quickly responding to any
failures, makes it possible to find and fix the error. External IS pick up received
messages from e-mail or from an ftp server, which again leads to the need to use a
schedule, since it need to periodically check the receipt of new data. That is, it is
necessary to load the data directly to external IS and transfer them using web services
immediately after receiving them in integrated DB. At the same time, the ISs, that
received the updated data, should confirm its receipt, relevance and completeness.


3
    https://meteoinfo.ru/
4
    http://esimo.ru/portal/auth/portal/esimo-user/data




                                            185
    It is obvious that the delivery of data, occurring by event wins as compared to the
delivery by schedule. This increases a relevant of data for all IS, it realize principle of
guaranteed delivery of data and creates the opportunity to promptly react to failures.
Solutions for the processing of data with zero latency are the best response to the needs
of consumers.
    To develop maximally effective delivery of data must be implemented next features:
delivery of data directly in the DB of other IS; organization of data delivery past the
event of updating data in the IR; fast receipt of the notifications on any failures to
immediate their removal, in order to not allowing for the impact of the effects on the
business processes; realization of monitoring of all delivery of data.
    The creation of a software complex for the task of delivery of data by the
subscription is relevant in connection with development from consumers modern ISs.
Subscribe need to alert the representatives of power and the public about the occurrence
of disasters, climate changes and impacts of environment on the industry and the
population [7]. Using of synchronously and asynchronously delivery of messages are
discussing about in papers [8, 9].
    ESIMO [12] integrate, systematize and provides information for analysis of
environment state on objects of economic activity. This information can use to highlight
the various threats. For this is required:
     To develop a technology for an integrated and targeted information services by
         the automatic delivery of information to heads of enterprises, public authorities
         and the public, for assessment of the impact of threats, and the possible changes
         in climate in the various economic sectors.
     To create tools of estimates indicators for the levels of danger of the objects
         industry, types of activity with a yield to more detailed consideration of
         situations (maps of prognostic, observed parameters).
     To carry out automatic delivery of messages about threats and information on
         exceeding the threshold values of indicators of environmental.
     To develop a program-agents to automatically launch application on mobile
         Internet devices of heads and inform consumers in case of exit of values of
         parameters behind the threshold values.
     To delivery to consumers no content of IR, and required current, and or
         prognostic, or climate information with parameters for the particular industrial
         enterprise and not on the initiative of the consumer, and by automatic delivery
         on any Internet device.


3    Subscriptions of Consumers on the Requested Data
For the organization of HMS, including subscription, it is necessary to have the
coordinates of the point or region, the composition of the parameters; the type of
information, the type of object, type of activity, the threshold values of indicators of
threats, e-mail address or the number of mobile phone, to which it need transfer the
data. This information should allow determining:
     Geographical area.
     Category of data (observation, analysis, forecast, climate).




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     Data period (only last arrivals, last receipts + forecast, last receipts+ forecast +
        climate).
     For what the necessary data (replenishment of times series, tables with analytical
        and or prognostic data, decision-making, et al.).
     Threshold values of indicators for the various types of industrial facilities, types
        of activities, for every threats.
     IRs about the state of the environment, based on which threats determine.
    If the object is a geographical region, then min and max values of latitude and
longitude or trajectory coordinates of dynamic object motion are introducing. When the
description of the object enter information about threats, impact on the enterprise, it is
necessary from the proposed threats list select parameters for which it need keep track
of the excess of the threshold values. Local threshold values for four danger levels
(green, yellow, orange, and red - "traffic light") are recording in the Threshold values
DB. After selection of parameters the system automatically determines, in which IRs
are these parameters. The administrator of the system should clarify based on the IR
metadata, as far as these resources satisfy conditions its application (completeness,
relevance, temporal resolution, the area of interest, and others) and register them.
Further, these IRs are including in the regular process for identifying threats by
threshold values or, if the resource is already there in the processing, then for it adding
new conditions to identify threats for the registered enterprise and type of activity.
    When specifying threat indicators, other types of indicators can used, in addition to
threshold values:
     Repeatability climatic values - the number of cases the measurements of the
        parameters in predetermined intervals (for example, the level of water in St.-
        Petersburg <150, 151-200, >200 cm) for a certain period in percent).
     Aggregated characteristics of the state of the environment - average value or sum
        for the considered temporal and spatial resolution, for example, the amount of
        precipitation for a certain period of time (for a month >100 mm, season >300
        mm, year <50 mm, etc.).
     Relative deviation - value allowable deviation in percentage, is triggering, if the
        value of indicator changed greater than at a predetermined magnitude percent by
        comparison with the previous period.
    In those cases where the value or time manifestations indicators of threats depend
on the geographical position and or time of the year, assessment indicator is making in
type of deviation from the norm or trend:
     Anomaly - the deviation values of the parameter from the climatic values,
        triggered if the difference between current and climatic value indicator larger set
        number (for example, for temperature air pressure, humidity, and other
        parameters).
     Tendency - speed, magnitude and direction of indicator change - a relatively
        stable direction of change for the indicator of a process for a certain period,
        shows if the indicator increases, decreases or is monotonous at a selected time
        interval (for example, change tendency of atmospheric pressure).
    To assessments the hydrometeorological situation, special indicators are used:
     Comprehensive indicator of fire danger on the current day - represents a
        cumulative amount of difference of temperature air and point of dew.




                                          187
     Bodman indicator of severity of the climate - depends on the temperature of the
       air, the speed of the wind, shows the degree of dangerous to human life.
     Normal equivalent-effective temperature - an indicator of thermal sensitivity,
       taking into account the influence of wind for a dressed person.
    For each indicator, algorithms and methods of preparation are developing. The
organization scheme for HMS of heads in case of threats is the increasing information
of enterprise heads, quick familiarization with the current situation by:
     Selection and delivery of received storm alerts.
     Delivery of information on detected threats, including providing of information
       on the impacts and recommendations for decision support.
     Detailed acquaintance with the hydrometeorological situation by maps, figures
       and tables.
     Delivery of information into the ISs with automatic loading into DB.
     Receiving of information about possible damage and cost of preventive actions
       before disaster.


4      Applications for Determining the Level of Danger
This tool is designing to identify threats based on select of values in flow of observed
and forecast data, which exceed thresholds and, the automatic location of the
geographical area of disaster manifestation. Threat identification involves the creation
of detection methods based on existing threshold values or other types of indicators
characterizing threats, spatial-temporal analysis of measurement data, existing tools for
integrated monitoring of the environment and operational display of
hydrometeorological, ice conditions in the form of observed, of analytic, forecasting
and climatic data. Identification are making based on IRs, for the selected object and
threshold values of threats. The result of work this application is a constantly updated
DB with dangerous situations for each object and type of activity (Fig. 1).
                            DB “Threshold values
                            of indicators” (general,
                                regional, local)

    Storm warnings
                                    Threat               DB               Web
    Observed data                                                                      USER
                                 identification        “Threat”          service
     from GTS                     application

     Forecasting
        data



Fig. 1: The scheme for identifying and delivery information for disaster to consumers [10].




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     For the functioning of the threat monitoring system, the use of integrated
environmental data obtained from existing data sources is necessary. The input
information to determine the impact of threats on objects and them activities is the
values of the measured parameters at the point (fixed hydrometeorological station, or
of a regular grid).
     The DB creation of threshold values of threat indicators (Table 1) is performed
according to the following scale - green (normal situation), yellow (moderately
disturbed situation), orange (dangerous situation), red (catastrophic situation) taking
into account the type of enterprise and the type of activities, performed at the enterprise.
     To prepare the necessary information, integrated data is regularly processed
(filtering, select, reduction to one structure, unit of measurements, etc.). After updating
the data in the IR, they are automatically delivery to the applications. The results of the
processing are documenting and can be subjecting to new aggregation.
     The threats description include the following attributes: a short name of the threat;
type and name of geographical area; date and time of the start and completion of threat;
type of data generalization - observation, forecast, climate; name of the indicator; date
and time of observation or analysis and forecast; values of the indicator; text
description; the coordinates of the point or area; objects, on which impacts threat; the
intensity of threat; kind of activity on which reflect the impact of the threat; enterprise
management level; date of creating and change the description.

          Table 1. The threshold values of threats indicators to the individual objects.
Lat, Lat, Long, Long, Object Climate Season          Types of      Threat Indicators       Values
min max min max               zone                    activity
40 90     7    180 Vessel Marine                    Transition    Wind: speed, m/s      0 14.9
40 90     7    180 Vessel Marine                    Transition    Wind: speed, m/s     15 19.9
40 90     7    180 Vessel Marine                    Transition    Wind: speed, m/s     20 >20
40 90     7    180 Vessel Marine                    Transition    Wave: height, m       0  1.9
40 90     7    180 Vessel Marine                    Transition    Wave: height, m       2  4.9
40 90     7    180 Vessel Marine                    Transition    Wave: height, m       5 >5
40 90     7    180 Vessel Marine Winter             Transition            Air          -5 -10.1
                                                                   temperature,0С
40   90     7     180 Vessel Marine                 Transition            Air          -10 +24.9
                                                                   temperature,0С
40   90     7     180 Vessel Marine                 Transition            Air          25     5
                                                                   temperature,0С
40   90     7     180 Vessel Marine                 Transition    Visibility, m        0     100
40   90     7     180 Port Marine                      Crane      Wind: speed, m/s     0     4.9
                                                     operation
40   90     7     180    Port    Marine                Crane      Wind: speed, m/s     5     11.9
                                                     operation

   Threats are determined both at the level of unit of observations (excess of indicator
recorded in one point), so and the region (the threat is registered in several points of
observations). When this is using as warnings of the territorial offices of Roshydromet




                                              189
of threats, so and threats, which identified automatically based on observed and forecast
data.
    The output should satisfy the following requirements:
     Minimum amount of information issued to the head.
     Increasing the granularity of data as the spatial scale of its presentation increases.
     Presentation in a form directly for use without the need for intermediate
         calculations.
     Automatic detection of threats, related to the excess of the local threshold values.
    In result, head is no need to be constantly at the computer in order to monitor the
situation. Color and sound signaling helps to the timely to draw attention to the message
received. Decreasing amount of data, provided to the head in the message window of
the threat, makes it easier acquaintance with the situation.
    Head of the enterprise may disconnect message threats, if he considers that the threat
for its object not having any adverse effects. At the same time in one settlement may be
a few threats. If the signal of second threats has a more high level of danger, then the
situation is assigning a more high level of risk. There are the following situations
associated with delivery information about threats:
     Message may be not receive, and threats would occur.
     Message was, but the head ignored it for some reason.
     Message was, and the head acknowledged its receipt.
     Disaster finished, the head not received the confirmation about its cancellation
         or he no sent an answer about the receiving of a cancel message.
    Therefore, in the system must definitely make a mark on the fact that the enterprise
head received message. He must have opportunity to reconfigure the composition of the
monitored threats and must have possible an update of threshold values. When detecting
a threat the reason of her occurrence is established. Knowledge of the reason of threat
allows predicting its development and the emergence of new threats, a reason of
occurrence of which can be the first disaster.
    On the basis of ESIMO IRs, not only automatic threat detecting based on all
integrated data may organized, but also notification of heads about emerging threats at
the initiative of the system through the development of an application MeteoAgent that
works on the mobile Internet-device. Application uses all available sources of
observation, forecast and climatic data. The threats are detecting by threshold values for
each object and type of activity.
    Information should be obtained in the form of a spatial representation, based on a
grid data, or a time series at a point (graphs of indicators in time). Trends and anomalies
are calculating for time series. The results of processing indicators of the
hydrometeorological situation should use for an operational assessment of the objects
state and types of activities at the object; of output of color and sound alerts about
threats; of building graphs of indicators with the identification of dangerous trends or
high anomalies of indicators. Having the coordinates of the point or region and the
location of the objects, well as information about the threats for him, can see in GIS
what part of a spatial is the threat, and how far the object is from the epicenter of threat.
Based on this information, it is required to compose a message, in which will indicate
the level of danger for each object located in the danger area. Compliance with the data
types and functions to detect threats has been representing in Table 2.




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                          Table 2. Correspondence of data types and functions.

     Data type                                      Functions
    Observed       Analysis of IRs with the observed data, transmitted over the GTS in the
    data           codes SYNOP, SHIP, BUOY, SEA, WAREP, and etc.
                   Calculation of abnormal deviations of the observed values from climatic
                   data
                   Trend calculating of change values of parameters
    Forecast       Analysis of IRs with prognostic data
    data           Trends calculating change prognostic values of parameters
    Storm alerts   Detection of storm warnings for any objects


5     Tools of Delivery of Information for the Threats

5.1 Software for the Selection and Transmission of Storm Warnings
For HMS, it is necessary, first, to use the official "Storm warnings and alerts" of
organizations of Roshydromet. These warnings are compiled by observers on station or
synoptics in territorial offices Roshydromet, transmitted via GTS and collected in the
ESIMO DB. In first case of information about threats ah identified by observers at the
hydrometeorological station and transmitted in code WAREP via the GTS. These
messages can be using to identify objects that threats affect.
   The second option is, when the synoptic in the territorial offices of Roshydromet
and research institutions (Arctic and Antarctic Research Institute, Hydrometeorological
Center of Russia), based on analysis of the current situation, weather maps and other
materials, are forecast threats and pass them to interested enterprises.
   These threat forecasts and warnings be using to identify objects and activities that
they are influencing. Each type of economic activity has its own activity limitations, for
example, those associated with strong winds, which may not coincide with the
gradations of strong winds established in the guides [5, 6]. Identified messages for a
specific object (district) are stored in the DB and must transfer to consumers using SMS.
These messages can be view for a certain period on the map as one of the IR.

5.2 Application for Delivery Information about Identified Threats
Application for automatic delivery of information about the various threats
(MeteoAgent) is intending for visualization of information about threats based on the
received SMS with the address of the software for link [1, 10, 11]. The message includes
the name of the object, the type of activity, and the name of the indicator, its value, and
danger level. The message contains a link to the MeteoMonitor application for more
detailed information about the current hydrometeorological situation. In addition to
impacts and recommendations, the consumer can be able to assess the possible damage
and calculate the costs of preventive measures. This application is installing on the
smartphone of enterprise head and is activating when SMS is receiving. The consumer
configures the MeteoAgent application for a specific object, hydrometeorological
station, threshold values of threat indicators. The application MeteoAgent should




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conduct monitoring of alerts about threats in real time. The availability of information
on mobile phone numbers registered at base stations located in the threat zone allows
providing prompt alerts and instructions the owners of mobile phones located in any
region.

5.3 Application in the Form of a Dashboard
In addition to SMS messages, the head should see the state of indicators of the current
situation. To do this can use the application to form indicators as a dashboard. The
application must in an interactive mode to show values of observed and prognostic
parameters celebrated on icons meteorological instruments, with indication of the level
of danger, Fig. 2. Beside each, parameter value should be the graphic changes of
anomalies and of trends. When updating data in the sources, they update on the
dashboard automatically.




Fig. 2. Scheme reflection hydrometeorological conditions with an indication of threshold values
on the dashboard.

    In such an application, information is displaying on the screen in a more compact
form. One glance at this form will be enough to understand the current
hydrometeorological situation. If necessary, the head can get detailed information on
the ESIMO portal for the district by application MeteoMonitor.




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5.4 Application MeteoMonitor
Application MeteoMonitor is software for more detailed acquaintance with the
hydrometeorological situation at a point or in a spatial. The program interface of this
application should provide the following forms of presentation of information:
    Maps of the spread of threats in spatial.
    Graphs of changes in threat indicators in form time series.
    Tables of values of environmental parameters in a particular observation point
       or closest point on regular grid.
    Values, showing the status of indicators of threats, for individual objects and
       types of activities on them.
    Messages about threats.
    Warning about disasters via sound, color.
   When updating data in the sources, the relevance of the data in the MeteoMonitor
application automatically ensuring.

5.5 Application for the Delivery of Information to the IS of Enterprise with
Automatic Loading into the Database
At the present time it is necessary to hydrometeorological data are using in the
automated business processes of enterprises, such as accounting of speed and direction
of wind during the unloading of coal in the seaport, located on the territory of the city
or the planning of loading and unloading of perishable products. In this case, the head
of the enterprise subscribes to the delivery of the necessary data. Depending on the
business process, data can be transferred for a point, region or trajectory.
    If the enterprise is to a point, then the observed hydrometeorological information
available from hydrometeorological station, which is located closer from the enterprise,
and prognostic information - on the nearest point of grid. If the enterprise has distributed
in spatial, then for each object selected by points of observations and the results of
interpolation at the grid point, how, and in the previous case. If the enterprise is a
dynamic object (vessel), then observation points and grids point along the entire route
of the vessel are selected for it.
    The observed and prognostic data are updating in accordance with the time
resolution of these IRs. Moreover, the data of previous observations are not repeating
in messages, only those parameters will be send, that are necessary for the operation of
business processes of enterprises.


6    Conclusions
New for hydrometeorology approaches automatic delivery of information about the
different threats, visualizing the state of the current situation indicators in the form of a
dashboard, the data delivery to external ISs of the enterprises with automatic loading
into the DB are proposed. Full implementation about these approaches must permit to
organize the hydrometeorological support of enterprises and population that is more
effective.




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Acknowledgements. The work financially supported by the Ministry of Science –
and Higher Education of the Russian Federation, a unique project identifier
RFMEFI61618X0103.


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