On the reports screen, we will have 5 different report models divided as follows:
5.1.1 – Climatology
5.1.2 – Probability and Risk
5.1.2.1 – Cold Events
5.1.2.2 – Hot Events
5.1.2.3 – Precipitation
5.1.2.4 – Water Capacity
5.1.3 – Daily Report
5.1.4 – Nightly Report
5.1.5 – Weekly Report
Below we will discuss each of the above items in detail.
5.1.1 – Climatology
The meteoblue® climate diagrams (Climatology Charts) are based on 30 years of hourly climate model simulations and are available for all locations on Earth. They provide good indications of typical climate patterns and expected conditions with a spatial resolution for a specific location in an area of approximately 30 km.
Since 2007, meteoblue® has been archiving meteorological model data. In 2014, the calculation of meteorological models with historical data from 1985 began, resulting in a continuous global history of 30 years with hourly meteorological data.
The climate diagrams (Climatology Diagrams) are the first set of simulated climate data covering any place in the world at any time, regardless of the availability of weather stations.
Within the climatology analysis screen, we have average temperature and precipitation charts; cloudy, sunny, and precipitation days; maximum temperatures; precipitation amount; wind speed; and wind rose. Figure 5.1.1A below illustrates how the average temperature and precipitation chart is presented.
Figure 5.1.1A – Climatology Screen
In the area circled by a red rectangle on the climatology screen, we have the climatic pattern chart of average temperatures and precipitation. Within this chart, we have the precipitation patterns for our monitoring point, represented by blue bars, showing the accumulated rainfall expected for each month, as illustrated in Figure 5.1.1B below.
Figure 5.1.1B – Monthly Rainfall Accumulation Patterns
In the average temperature and precipitation chart, we have four different temperature representations, as illustrated in Figure 5.1.1C below
Figure 5.1.1C – Monthly Temperature Patterns
In Figure 5.1.1C, we have the representation of hot days’ temperatures (Nº1), which is represented by a dashed red line. We also have the representation of average maximum temperatures (Nº2), represented by a solid red line in the chart, just below the hot days’ temperature line.
The average daily minimum temperature (Nº3) is represented by a solid blue line just below the daily temperature representation line, and finally, we have the representation of cold nights’ temperatures (Nº4), represented by a dashed blue line.
Lastly, but not least, we have the average wind speed information, represented by a green illustration, where, when hovering over the representation, the average, minimum, and maximum wind speeds for each month are displayed, as illustrated in Figure 5.1.1D below.
Figure 5.1.1D – Wind Speed Patterns
All charts include a help field located in the upper right corner of each chart. When clicked, a box opens with an explanation of each chart’s information, as illustrated in Figure 5.1.1E below.
Figure 5.1.1E – Help Button on the Climatology Screen
5.1.2 – Probability and Risk
When entering the probability and risk screen, you are presented with a screen where you must choose between different events to be evaluated. Below, Figure 5.2A shows the entry screen for the probability and risk analysis.
Figure 5.2A – Probability and Risk Analysis Screen
Below, we will separate the possible analysis options so we can explore each of them in detail.
5.1.2.1 – Cold Events
The cold events diagram shows the probability of temperatures below a certain temperature limit during a specified period.
The limit is set for temperature values between -30°C and 30°C for cold events. This diagram is commonly used to assess frost.
To select cold day events, you must select the options as illustrated in Figure 5.2.1A below:
Figure 5.2.1A – Cold Events Analysis Screen
By selecting the type of event you want to monitor (Cold Event, Nº1), you need to select the duration of the event to be evaluated in our diagram (Nº2), and lastly, you must select the temperature range (Nº3) to be considered in constructing the meteogram. In this example (Cold Event), temperature values below the selected value will be considered. After selecting all the fields, click the generate chart button (Nº4) to obtain the meteogram. After clicking the generate chart button, you will obtain a meteogram with the history of cold events, as shown in Figure 5.2.1B below.
Figure 5.2.1B – Cold Events Meteogram
Probability and Tolerable Risk Meteogram
The probability meteogram (Nº1) shows the probability of the event, in a day or a week. You can adjust your personal tolerable risk (Nº2) with the second meteogram. If your tolerable risk is 20% for temperatures below 10°C in a given week, you should plan not to have crops in the field until early April, as after that date, the probability, and consequently the tolerable risk, increase for temperatures below 10°C, staying above 20% for a long period.
5.1.2.2 – Hot Events
The hot events meteogram shows the probability of temperatures above a certain temperature limit during a specified period.
The limit is set for temperature values above 30°C for hot events. This meteogram is commonly used to assess very high temperatures, considering a 30-year history.
To select hot day events, you must select the options as illustrated in Figure 5.1.2.2A below:
Figure 5.1.2.2A – Hot Events Analysis Screen
By selecting the type of event you want to monitor (Hot Events, Nº1), you need to select the duration of the event to be evaluated in our diagram (Nº2), and lastly, you must select the temperature range (Nº3) to be considered in constructing the meteogram. In this example (Hot Events), temperature values above the selected value will be considered. After selecting all fields, click the generate chart button (Nº4) to obtain the meteogram. After clicking the generate chart button, you will obtain a meteogram with the history of hot events above 30°C, as shown in Figure 5.1.2.2B below.
Figure 5.1.2.2B – Hot Events Meteogram
Probability and Tolerable Risk Meteogram for Hot Events
The probability meteogram (No.5) shows the probability of the event, in a day or a week. You can adjust your personal tolerable risk (No.6) with the second meteogram. If your tolerable risk is 50% for temperatures above 30°C in a given week, you should plan not to have crops in the field until mid-April, as after that date, the probability, and consequently the tolerable risk, increase for temperatures above 30°C, staying above 50% for a long period. The meteogram of event occurrences over the years (No.7) illustrates the occurrence of events over a 30-year period.
5.1.2.3 – Precipitation
This meteogram assesses the amount of precipitation in a given week above a certain limit. With the help of this representation, you can estimate heavy precipitation events and plan activities according to the need for this event or its absence. The limit for precipitation amounts must be defined between 1 and 100 mm/week.
To assess precipitation at your monitoring point, you must select the precipitation option on your probability and risk screen. Figure 5.1.2.3.A below illustrates the probability and risk screen for precipitation and the fields that need to be selected to generate the meteogram.
Figure 5.1.2.3.A – Probability and Risk Screen
By selecting the event you wish to evaluate in the options bar in Figure 5.2.3A (Nº1) on the analysis screen, you need to select the event you wish to survey (Nº2); and for the precipitation risk analysis option (Nº2), you need to select a precipitation limit value (Nº3) ranging from 1 to 100 mm of rain in a week to assess the event’s occurrence. After selecting all necessary fields, simply click the generate chart button (Nº4) to obtain the precipitation probability and risk meteogram, as illustrated in Figure 5.1.2.3B below.
Figure 5.1.2.3B – Precipitation Probability and Risk Meteogram
Precipitation Probability and Tolerable Risk Meteogram
The precipitation probability and risk meteogram (Figure 5.2.3B) shows the probability of the event, in a day or a week. You can approximate the probability (Nº5) of a given event with your personal tolerable risk (Nº6) with the second meteogram. If your tolerable risk is 50% for 30 mm of precipitation during a week, you should plan not to have crops in the field until early April (if you need events of 30 mm of precipitation in a week), as after this date, the probability, and consequently the tolerable risk of this event not occurring, decreases (since the occurrence increases over the months) for this specific precipitation limit.
5.1.2.4 – Water Capacity
This meteogram shows the probability of the water capacity in a specific period of the year exceeding a certain limit. The water capacity is defined as the total amount of water that the soil can hold, ranging from 10% to 80% of the soil’s total volume.
The limit must be between 10 and 80% of the soil’s water capacity.
To assess the water capacity of your monitoring point, you need to select the water capacity option on your probability and risk screen. Figure 5.1.2.4A below illustrates the probability and risk screen for water capacity and the fields that need to be selected to generate the meteogram.
Figure 5.1.2.4A – Probability and Risk Analysis Screen for Water Capacity
By selecting the water capacity limit value (Nº1), which ranges from 10% to 80%, and selecting the period you wish to assess (Nº2), click the generate chart button (Nº3) to obtain the meteogram. After clicking the generate chart button, you will obtain the water capacity probability meteogram as illustrated in Figure 5.1.2.4B below.
Figure 5.1.2.4B – Precipitation Probability and Risk Meteogram
Precipitation Probability and Tolerable Risk Meteogram
The precipitation probability and risk meteogram (Figure 5.2.3B) shows the probability of the event occurring in a day or a week. You can approximate the probability (Nº5) of a given event with your personal tolerable risk (Nº6) using the second meteogram. If your tolerable risk is 50% for 30 mm of precipitation during a week, you should plan not to have crops in the field until the beginning of April (if you need 30 mm of precipitation events in a week), as after this date, the probability and consequently the tolerable risk of this event not occurring decrease (probability of the event occurring decreases), leading to a long period from May to the end of September without events of at least 30 mm of precipitation in a given week. The meteogram showing event occurrences over the years (Nº7) illustrates the occurrence of events over a 30-year period.
5.1.3 – Daily Report
The daily rainfall report is composed of accumulated rainfall data from 00:00 hours of a day to 23:59 hours of the same day. Figure 5.1.3A below illustrates how the rainfall report is presented on the screen.
Figure 5.1.3A – Daily Report Screen
As soon as you enter the daily rainfall report screen, you will see the identification of the report you are viewing, and just below, you have the date and time (Nº1) considered for generating the report.
Below the report identification, you have the accumulated precipitation averages, showing the property identification name (Nº2) with the accumulated rainfall averages (Nº3) considering all monitoring points within the property.
To view details of the rainfall at each point within your property, click the “Show Monitoring Points” button (No.4). Figure 5.1.3B illustrates how the screen appears after clicking the “Show Monitoring Points” button.
Figure 5.1.3B – Rainfall Accumulation by Monitoring Point in the Daily Report
Clicking the “Show Monitoring Points” button will display a list where the first column shows the identification of each station (Nº5) within the property, the second column shows the accumulated rainfall from the last day (Nº6) at each monitoring point within the property, and lastly, you have the accumulated rainfall for the last 7 days (Nº7) for each monitoring point. If the user clicks the “Hide Monitoring Points” button, the list with information for each point will be collapsed, returning to the display of the average rainfall accumulation for the property.
If the user opts to download the file in “.CSV” format, they should click the downward-pointing arrow in the upper right corner of the screen, next to the print button.
5.1.4 – Nightly Report
The nightly rainfall report consists of accumulated rainfall data from 18:00 hours of one day to 06:00 hours of the following day. Figure 5.1.4A below illustrates how the nightly rainfall report is presented on the screen.
Figure 5.1.4A – Nightly Report Screen
As soon as you enter the nightly rainfall report screen, you will see the identification of the report you are viewing, and just below, you have the date and time (Nº1) considered for generating the report.
Below the report identification, you have the accumulated precipitation averages, showing the property identification name (Nº2) with the accumulated rainfall averages (Nº3) considering all monitoring points within the property.
To view details of the rainfall at each point within your property, click the “Show Monitoring Points” button (No.4). Figure 5.1.4B illustrates how the screen appears after clicking the “Show Monitoring Points” button.
Figure 5.1.4B – Rainfall Accumulation by Monitoring Point in the Nightly Report
Clicking the “Show Monitoring Points” button will display a list where the first column shows the identification of each station (Nº5) within the property, the second column shows the accumulated rainfall from the last night (Nº6) at each monitoring point within the property, and lastly, you have the accumulated rainfall for the last 7 days (Nº7) for each monitoring point. If the user clicks the “Hide Monitoring Points” button, the list with information for each point will be collapsed, returning to the display of the average rainfall accumulation for the property.
If the user opts to download the file in “.CSV” format, they should click the downward-pointing arrow in the upper right corner of the screen, next to the print button.
5.1.5 – Weekly Report
The weekly rainfall report consists of accumulated rainfall data from 00:00 hours on Sunday to 23:59 hours on the following Saturday. Figure 5.1.5A below illustrates how the weekly rainfall report is presented on the screen.
Figure 5.1.5A – Weekly Rainfall Report Screen
As soon as you enter the weekly rainfall report screen, you will see the identification of the report you are viewing, and just below, you have the date and time (Nº1) considered for generating the report.
Below the report identification, you have the accumulated precipitation averages for the last week, showing the property identification name (Nº2) with the weekly accumulated rainfall averages (Nº3) considering all monitoring points within the property.
To view details of the rainfall at each point within your property, click the “Show Monitoring Points” button (Nº4). Figure 5.1.5B illustrates how the screen appears after clicking the “Show Monitoring Points” button.
Figure 5.1.5B – Rainfall Accumulation by Monitoring Point in the Weekly Report
Clicking the “Show Monitoring Points” button will display a list where the first column shows the identification of each station (Nº5) within the property, the second column shows the accumulated rainfall from the last week (Nº6) at each monitoring point within the property, and lastly, you have the accumulated rainfall for the last 30 days (Nº7) for each monitoring point. If the user clicks the “Hide Monitoring Points” button, the list with information for each point will be collapsed, returning to the display of the average rainfall accumulation for the property.
If the user opts to download the file in “.CSV” format, they should click the downward-pointing arrow in the upper right corner of the screen, next to the print button.