CEMADEN datasets

Updated: 2025-02-15

Introduction: What is CEMADEN?

CEMADEN (National Center for Monitoring and Alerts of Natural Disasters) is an institution linked to the Ministry of Science, Technology and Innovation (MCTI) that works in the monitoring of risks and the issuance of alerts of natural disasters in Brazil. Its main mission is to preserve lives and reduce socioeconomic damage by anticipating extreme events, such as landslides, floods, flash floods, and droughts.

CEMADEN collects environmental data from various sources and sensors spread throughout the national territory, through the Observational Network, which comprises meteorological, hydrological, rainfall, geotechnical stations, among others.

How to access the data: PED Platform

The observational data collected by CEMADEN are available to the public through the Data Delivery Platform (PED) [2]. In it, anyone can make data requests, respecting some rules:

  • Limit of requests:

  • External users: up to 12 requests per minute.

  • Institutional partners: up to 180 requests per minute.

  • Scheduled requests (histories) are available for download for 30 days .

  • Accounts that have been inactive for more than one year are automatically removed.

Note

It is mandatory to cite the source of the data when using them: DATA FROM THE CEMADEN/MCTIC OBSERVATIONAL NETWORK.

Data structure

The data made available in the PED [2] follow a clear organization, both in format and classification:

  • Each station file can contain data in two categories:

  • Daily (e.g., accumulated rainfall per day);

  • Non-daily (e.g. hourly, real-time data).

  • The stations also have different types:

  • “C” → Acqua

  • “U” → Agrometeorological

  • “G” → Geotechnical

  • “H” → Hydrological

  • “A” → Rainfall

  • “B” → Rainfall B

  • “T” → Test

Types of sensors

Each type of station monitored by CEMADEN presents data according to some sensors. These sensors monitor different environmental variables.

See the Sensor types table for the codes associated with the environmental variables monitored by each station type.

Sensor types for CEMADEN stations

Code

Description

10

Rain

20

Level

60

Air temperature

90

Relative humidity

180

Wind speed

190

Wind direction

210

Solar radiation

240

Precipitation Intensity

260

Minimum Level

270

Maximum Level

280

Balance Radiation

290

Soil Temperature Level 1

300

Soil Temperature Level 2

310

Soil Temperature Level 3

320

Soil Temperature Level 4

330

Soil Moisture Level 1

340

Soil Moisture Level 2

350

Soil Moisture Level 3

360

Soil Moisture Level 4

370

Maximum daily air temperature

390

Maximum daily relative humidity

400

Minimum daily relative humidity

410

Maximum daily wind speed

420

Wind direction at maximum daily speed

430

Daily prevailing wind direction

440

Soil Temperature Level 1 Maximum Daily

450

Soil Temperature Level 1 Daily Minimum

460

Soil Temperature Level 2 Maximum Daily

470

Soil Temperature Level 2 Daily Minimum

480

Soil Temperature Level 3 Maximum Daily

490

Soil Temperature Level 3 Daily Minimum

500

Soil Temperature Level 4 Maximum Daily

510

Soil Temperature Level 4 Daily Minimum

520

Soil Moisture Level 1 Maximum Daily

530

Soil Moisture Level 1 Daily Minimum

540

Soil Moisture Level 2 Maximum Daily

550

Soil Moisture Level 2 Minimum Daily

560

Soil Moisture Level 3 Maximum Daily

570

Soil Moisture Level 3 Minimum Daily

580

Soil Moisture Level 4 Maximum Daily

590

Soil Moisture Level 4 Minimum Daily

600

Daily Accumulated Precipitation

610

Soil Moisture Level 5

620

Soil Moisture Level 6

630

Soil Moisture Level 5 Maximum Daily

640

Soil Moisture Level 5 Minimum Daily

650

Soil Moisture Level 6 Maximum Daily

660

Soil Moisture Level 6 Minimum Daily

Note

Important: Not all station types have data for the Daily or Non-Daily categories and neither do the same sensors. Each type can provide different data, depending on its specific sensors.

Processing Script

The data made available via PED are later processed into a structure that combines information from several stations, however, maintaining the separation by Type of station, Category (Daily / Non-daily), Type of sensor and Year, covering the period from 2013 to 2024. The period covered includes information from 2013 onwards, as this is the year of registration of the first station registered in the CEMADEN system.

After processing, the data files are segmented according to the structure defined above, being organized into directories according to the subdivisions by type, category, sensor and year.

Structure of CEMADEN data processed

For rainfall stations, hourly data are accumulated to form daily series, which allows the analysis of the volume of accumulated daily rainfall, calculation of indicators such as SPI and SPEI and comparison with other precipitation data, such as those made available by the National Water Agency (ANA).

List of stations

CEMADEN provides the list of stations registered via PED through a Web request service, returning data that can be structured in table format. These data correspond to the records of stations registered in the CEMADEN system, and which have descriptive and geolocation information.

When carrying out the analysis, all stations registered until 12/31/2023 were considered, so that, in 2024, there may be stations with at least 1 year of registered data. Among the 3873 stations registered by the deadline.

The list of stations made available by CEMADEN has a structure similar to the one shown below:

cidade

codestacao

codibge

data_instalacao

id_estacao

latitude

longitude

nome

rede_sigla

tipoestacao_descricao

uf

0

BRASÍLIA

530010805A

5300108

2015-02-09 19:09:43.717

7878

-15.876800

-47.962700

Nucleo Bandeirante

CEMADEN

Pluviométrica

DF

1

BRASÍLIA

530010804A

5300108

2015-02-09 17:23:13.357

7877

-15.623700

-47.846900

Sobradinho

CEMADEN

Pluviométrica

DF

2

BRASÍLIA

530010803A

5300108

2015-02-09 17:15:08.558

7876

-15.781966

-47.998073

Cidade Estrutural

CEMADEN

Pluviométrica

DF

3

BRASÍLIA

530010802A

5300108

2015-02-09 17:05:58.246

7875

-15.818400

-48.153300

Ceilandia

CEMADEN

Pluviométrica

DF

4

BRASÍLIA

530010801A

5300108

2014-12-29 17:39:06.077

7635

-15.827000

-48.023000

Águas Claras

CEMADEN

Pluviométrica

DF

3868

JORDÃO

120032801A

1200328

2018-08-14 21:36:09.819

9674

-9.190133

-71.950808

Centro

CEMADEN

Pluviométrica

AC

3869

BRASILÉIA

120010401A

1200104

2018-08-14 20:39:49.214

9673

-11.012469

-68.740939

Centro

CEMADEN

Pluviométrica

AC

3870

PORTO VELHO

110020502A

1100205

2013-12-13 14:23:10.344

3014

-8.762160

-63.907421

Porto Velho

CEMADEN

Pluviométrica

RO

3871

PORTO VELHO

110020501A

1100205

2013-12-12 18:04:09.767

3151

-8.742165

-63.904242

AC São Sebastião

CEMADEN

Pluviométrica

RO

3872

PIMENTA BUENO

110018901A

1100189

2018-08-18 15:58:30.208

9740

-11.683234

-61.182871

Apidia

CEMADEN

Pluviométrica

RO

The dictionary with all the variables available on CEMADEN’s station registration form is available in Station registration variables below:

Variables available in CEMADEN station records

Variable

Description

Type

altitude

Station altitude in meters

float64

cidade

Name of the city where the station is located

object

codestacao

Station code according to CEMADEN

object

codibge

IBGE code of the municipality (7 digits)

int64

cota_alerta

River level alert quota (confirm)

float64

cota_atencao

River level attention quota (confirm)

float64

cota_transbordamento

River overflow quota (confirm)

float64

data_instalacao

Station installation date and time

object

dh_cadastro

Date and time of registration of the station

object

dh_inicio_inativo

Date and time of the start of the inactive status

object

dh_ultima_remessa

Date and time of last data shipment

object

id_estacao

Unique station identifier

int64

id_rede

Observational network identifier

int64

id_tipoestacao

Station type identifier

int64

latitude

Latitude of the station in decimal degrees

float64

longitude

Longitude of the station in decimal degrees

float64

nome

Station name

object

offset

Distance (in meters) between the river bottom and the sensor

float64

rede_sigla

Station network acronym (e.g. CEMADEN)

object

tipoestacao_descricao

Description of the type of station (e.g. Rainfall)

object

uf

Federative Unit (UF) of the station

object

The data regarding the list of stations were obtained through the python code developed to make requests to the CEMADEN system via PED. However, to make these requests, it is necessary to register with the PED, with login and password, so that a temporary access token is generated, necessary to make data requests.

Note

You can download the complete list of registered stations here: CEMADEN registered stations

Geographical coverage by type of stations

The stations of the CEMADEN Observational Network are distributed in the Brazilian national territory, with their highest concentration near the coast (east). Each station is categorized according to different types.

The Table of station frequencies by type presents the frequencies and percentages of CEMADEN stations registered as of 12/31/2025, according to their respective types.

Number and percentage of CEMADEN stations by type

Station Type

Frequency

Percentage (%)

Rainfall

3100

80.04

Acqua

447

11.54

Hydrologic

148

3.82

Geotechnical

96

2.48

Agrometeorological

82

2.12

The table with station frequencies by region presents the frequencies and percentages of CEMADEN stations registered as of 12/31/2025, according to the Brazilian regions.

Number and percentage of CEMADEN stations by Brazilian region

Region

Frequency

Percentage (%)

Southeast

1694

43.7

Northeast

1252

32.3

South

647

16.7

North

175

4.5

Midwest

105

2.7

Among the Brazilian regions, the distribution of CEMADEN stations is as follows: Southeast Region with 1,694 stations (43.7%), Northeast Region with 1,252 (32.3%), South Region with 647 (16.7%), North Region with 175 (4.5%), and Midwest Region with 105 (2.7%).

The table with station frequencies by state presents the frequencies and percentages of CEMADEN stations registered as of 12/31/2025, according to the Brazilian states.

Number and percentage of CEMADEN stations by Brazilian state

Federative Unit

Number of Stations

Percentage (%)

São Paulo

707

18.25

Minas Gerais

436

11.26

Rio de Janeiro

371

9.58

Pernambuco

371

9.58

Santa Catarina

364

9.40

Bahia

303

7.82

Ceará

188

4.85

Espírito Santo

180

4.65

Rio Grande do Sul

170

4.39

Paraná

113

2.92

Maranhão

99

2.56

Piauí

76

1.96

Amazon

72

1.86

Paraíba

72

1.86

Rio Grande do Norte

67

1.73

Pará

65

1.68

Alagoas

59

1.52

Goiás

52

1.34

Mato Grosso

25

0.65

Mato Grosso do Sul

23

0.59

Tocantins

17

0.44

Sergipe

17

0.44

Acre

6

0.15

Amapá

6

0.15

Roraima

6

0.15

Federal District

5

0.13

Rondônia

3

0.08

The ten states with the highest number of registered stations are: São Paulo with 707 stations (18.25%), Minas Gerais with 436 (11.26%), Rio de Janeiro and Pernambuco both with 371 (9.58%), Santa Catarina with 364 (9.40%), Bahia with 303 (7.82%), Ceará with 188 (4.85%), Espírito Santo with 180 (4.65%), Rio Grande do Sul with 170 (4.39%), and Paraná with 113 (2.92%).

The table with Frequencies and percentages of CEMADEN station types by Brazilian region presents the frequencies and percentages (per row) of CEMADEN station types distributed across the Brazilian regions.

Frequencies and percentages of CEMADEN station types by Brazilian region

Region

Acqua

Agrometeorological

Geotechnical

Hydrologic

Rainfall

Southeast Region

31 (1.83%)

4 (0.24%)

57 (3.36%)

80 (4.72%)

1522 (89.85%)

Northeast Region

416 (33.23%)

78 (6.23%)

28 (2.24%)

29 (2.32%)

701 (55.99%)

South Region

0 (0.0%)

0 (0.0%)

11 (1.7%)

30 (4.64%)

606 (93.66%)

North Region

0 (0.0%)

0 (0.0%)

0 (0.0%)

5 (2.86%)

170 (97.14%)

Midwest Region

0 (0.0%)

0 (0.0%)

0 (0.0%)

4 (3.81%)

101 (96.19%)

The table shows the frequency and percentage (by row) of each CEMADEN station type across the five Brazilian regions.

Figure Spatial distribution of the 3.873 CEMADEN stations as of 12/31/2023. shows the spatial distribution of the 3.873 stations registered in CEMADEN as of 12/31/2023.

Spatial distribution of CEMADEN stations

Spatial distribution of the 3.873 CEMADEN stations as of 12/31/2023.

The stations of the type ‘Pluviometric B’ are categorized as pluviometric in the cadastral list, while the ‘Test’ stations do not have a record in the registration form although they have data made available via PED.

Data availability

The data were downloaded through a request registered with the PED. After evaluation and approval steps, a link is generated containing files in csv format, one per station. However, the number of files made available differs from the number of stations registered in the CEADEN system and therefore an evaluation was carried out seeking to understand how many registered stations have data made available via PED and how many registered stations have data available for download, considering the date of 03/25/2025, when the station data were downloaded after approval of the request.

In all, of the 4027 stations with available data, 3867 have registration in the list of stations, while 160 stations have data, but are not included in the registration list.

Conclusion

CEMADEN is an essential pillar in the policy of prevention of natural disasters in Brazil. Through its robust data collection infrastructure and the PED platform, researchers, public managers, and society have access to valuable information to mitigate risks and plan response actions.

References

Contributors

Marcos Eustorgio Filho | Center for Data and Knowledge Integration for Health (CIDACS),
Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil
Danielson Neves | Center for Data and Knowledge Integration for Health (CIDACS),
Instituto Gonçalo Moniz, Fundação Oswaldo Cruz, Salvador, Brazil