# Mean Annual Temperature DAYMET (`Mean_Temp_2020_2024`) — EDIS AI Agent Dataset View

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## 1. Dataset Metadata
- **Raster Name**: Mean Annual Temperature DAYMET
- **Slug**: `Mean_Temp_2020_2024`
- **Units**: `°C`
- **Spatial Extent**: UL(83.7962118, -180.0) to LR(6.0712118, 180.0)
- **Summary**: North American Arithmetic mean of daily average air temperature calculated from Daymet v4 minimum and maximum temperature fields, expressed in degrees Celsius per grid cell per year.
- **Included in Flagship Map Package**: `Global_ISO9223_2020_2024_LE_V4` (`GET https://secure.engineeringdirector.com/api/bundles/Global_ISO9223_2020_2024_LE_V4/point_query`)

### Color Table & Value Breaks
- `(-26.67, (0.0, 0.0, 139.0))`
- `(-26.203000000000003, (2.5, 2.5, 136.3))`
- `(-25.736, (5.0, 5.0, 133.6))`
- `(-25.269000000000002, (7.5, 7.5, 130.9))`
- `(-24.802, (10.0, 10.0, 128.2))`
- `(-24.335, (12.5, 12.5, 125.5))`
- `(-23.868000000000002, (15.0, 15.0, 122.8))`
- `(-23.401, (17.5, 17.5, 120.1))`
- `(-22.934, (20.0, 20.0, 117.4))`
- `(-22.467, (22.5, 22.5, 114.7))`
- `(-22.0, (25.0, 25.0, 112.0))`
- `(-22.0, (25.0, 25.0, 112.0))`

Technical Specification
Mean Annual Temperature Raster
North America – 2020–2024 (Daymet v4)
1. Overview

The Mean Annual Temperature raster represents the arithmetic average of daily air temperature for each grid cell over a calendar year, derived from Daymet Version 4 daily minimum and maximum temperature fields.

2. Geographic Coverage

Spatial Domain: North America (Daymet v4 coverage)

Projection (Web Delivery): EPSG:4326 (WGS 84)

Native Projection: Daymet Lambert Conformal Conic (meters)

Spatial Resolution: 30 arc-seconds (~1 km)

Temporal Coverage: 2020–2024

Products Provided:

Annual Mean Temperature (per year)

5-Year Mean Temperature (2020–2024 average)

3. Data Source

Primary Dataset: NASA ORNL DAAC – Daymet Version 4

Dataset Website: https://daymet.ornl.gov

Input Variables:

tmin — Daily minimum air temperature (°C)

tmax — Daily maximum air temperature (°C)

Daymet provides gridded daily meteorological variables derived from surface observations and spatial interpolation techniques incorporating terrain effects.

4. Metric Definition
4.1 Daily Mean Temperature

Daily mean air temperature is computed as:

𝑇
𝑚
𝑒
𝑎
𝑛
,
𝑑
𝑎
𝑦
=
𝑇
𝑚
𝑖
𝑛
+
𝑇
𝑚
𝑎
𝑥
2
T
mean,day
	​

=
2
T
min
	​

+T
max
	​

	​


Where:

𝑇
𝑚
𝑖
𝑛
T
min
	​

 = daily minimum air temperature (°C)

𝑇
𝑚
𝑎
𝑥
T
max
	​

 = daily maximum air temperature (°C)

4.2 Annual Mean Temperature
𝑇
𝑎
𝑛
𝑛
𝑢
𝑎
𝑙
=
1
𝑁
∑
𝑑
=
1
𝑁
𝑇
𝑚
𝑒
𝑎
𝑛
,
𝑑
𝑎
𝑦
T
annual
	​

=
N
1
	​

d=1
∑
N
	​

T
mean,day
	​


Where:

𝑁
N = number of valid days in the year (365 or 366)

4.3 Units

Degrees Celsius (°C)

5. Processing Methodology
5.1 Computational Framework

Python (ArcGIS Pro Notebook environment)

NumPy for daily array processing

netCDF4 for Daymet ingestion

ArcPy for raster generation and reprojection

5.2 Processing Steps

Daily tmin and tmax rasters are read from NetCDF files.

NetCDF _FillValue pixels are masked to exclude missing data.

Daily mean temperature is computed per grid cell.

Valid daily means are accumulated and averaged for each year.

Annual rasters are produced for each year (2020–2024).

A 5-year mean raster is computed as the pixel-wise average of annual means.

Native rasters are projected to EPSG:4326 at 30 arc-second resolution.

5.3 NoData Handling

Missing input values are excluded from daily averaging.

Output float rasters use NoData = -9999.

Per-pixel valid-day counts are used to ensure accurate averaging near coastal and masked regions.

6. Output Specifications
6.1 Annual Raster

Filename format:
MeanTemp_Daymet_<YEAR>_C_EPSG4326_30as.tif

Data Type: Float32

Units: °C

6.2 Five-Year Mean Raster

Filename:
MeanTemp_Daymet_5yrMean_2020_2024_C_EPSG4326_30as.tif

Data Type: Float32

Units: °C

NoData: -9999

7. Raster Characteristics (Web Delivery)

Format: GeoTIFF (web-ready / tile-server compatible)

Compression: LZW

Internal Tiling: Enabled

Pyramids: Built

Statistics: Calculated

8. Typical Value Ranges (North America)

Arctic Canada / High Latitudes: -30 to -10 °C

Northern U.S. / Southern Canada: 0 to 10 °C

Central U.S.: 10 to 18 °C

Southern U.S. / Northern Mexico: 18 to 28+ °C

Actual values vary based on elevation, latitude, coastal influence, and continentality.

9. Intended Applications

Climate exposure classification

Corrosion rate modeling inputs

Infrastructure durability assessment

Environmental baseline mapping

Regional climate screening

10. Limitations

Based on gridded modeled data rather than direct measurement at each pixel.

Represents air temperature at standard meteorological height; does not reflect ground or subsurface temperatures.

Daily averaging may not capture short-duration extreme temperature events.

---

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```bash
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```

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```bash
curl -s "https://secure.engineeringdirector.com/api/bundles/Global_ISO9223_2020_2024_LE_V4/point_query?latitude={LAT}&longitude={LON}&token=iso9223_YOUR_VERIFIED_KEY"
```

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