@mytec: iter1.6.1 ready for testing

.claude/settings.local.json

@@ -10,7 +10,16 @@
       "Bash(python:*)",
       "Bash(pip --version:*)",
       "Bash(pip install:*)",
-      "Bash(npx vite build:*)"
+      "Bash(npx vite build:*)",
+      "Bash(git:*)",
+      "Bash(cat:*)",
+      "Bash(ls:*)",
+      "Bash(cd:*)",
+      "Bash(mkdir:*)",
+      "Bash(cp:*)",
+      "Bash(mv:*)",
+      "Read(*)",
+      "Write(*)"
     ]
   }
 }

RFCP-Iteration-1.6.1-Extra-Factors.md

@@ -0,0 +1,549 @@
+# RFCP Iteration 1.6.1: Extra Factors
+
+**Date:** January 31, 2025  
+**Type:** Backend Enhancement  
+**Estimated:** 4-6 hours  
+**Location:** `/opt/rfcp/backend/`  
+**Priority:** Low — nice to have for realism
+
+---
+
+## 🎯 Goal
+
+Add weather effects, indoor penetration loss, and atmospheric absorption for more realistic RF propagation modeling.
+
+---
+
+## ✅ Features
+
+### 1. Rain Attenuation (ITU-R P.838)
+
+**Theory:** Rain causes signal attenuation, especially at higher frequencies (>10 GHz). Even at LTE frequencies (700-2600 MHz), heavy rain can add 1-3 dB loss.
+
+**app/services/weather_service.py:**
+```python
+from typing import Optional
+import math
+
+class WeatherService:
+    """ITU-R P.838 rain attenuation model"""
+    
+    # ITU-R P.838-3 coefficients for horizontal polarization
+    # Format: (frequency_GHz, k, alpha)
+    RAIN_COEFFICIENTS = {
+        0.7: (0.0000387, 0.912),
+        1.0: (0.0000887, 0.949),
+        1.8: (0.000292, 1.021),
+        2.1: (0.000425, 1.052),
+        2.6: (0.000683, 1.091),
+        3.5: (0.00138, 1.149),
+        5.0: (0.00361, 1.206),
+        10.0: (0.0245, 1.200),
+        20.0: (0.0906, 1.099),
+        30.0: (0.175, 1.021),
+    }
+    
+    def calculate_rain_attenuation(
+        self,
+        frequency_mhz: float,
+        distance_km: float,
+        rain_rate: float,  # mm/h
+        polarization: str = "horizontal"
+    ) -> float:
+        """
+        Calculate rain attenuation in dB
+        
+        Args:
+            frequency_mhz: Frequency in MHz
+            distance_km: Path length in km
+            rain_rate: Rain rate in mm/h (0=none, 5=light, 25=moderate, 50=heavy)
+            polarization: "horizontal" or "vertical"
+        
+        Returns:
+            Attenuation in dB
+        """
+        if rain_rate <= 0:
+            return 0.0
+        
+        freq_ghz = frequency_mhz / 1000
+        
+        # Get interpolated coefficients
+        k, alpha = self._get_coefficients(freq_ghz)
+        
+        # Specific attenuation (dB/km)
+        gamma_r = k * (rain_rate ** alpha)
+        
+        # Effective path length reduction for longer paths
+        # Rain cells are typically 2-5 km
+        if distance_km > 2:
+            reduction_factor = 1 / (1 + distance_km / 35)
+            effective_distance = distance_km * reduction_factor
+        else:
+            effective_distance = distance_km
+        
+        attenuation = gamma_r * effective_distance
+        
+        return min(attenuation, 30.0)  # Cap at 30 dB
+    
+    def _get_coefficients(self, freq_ghz: float) -> tuple[float, float]:
+        """Interpolate rain coefficients for frequency"""
+        freqs = sorted(self.RAIN_COEFFICIENTS.keys())
+        
+        # Find surrounding frequencies
+        if freq_ghz <= freqs[0]:
+            return self.RAIN_COEFFICIENTS[freqs[0]]
+        if freq_ghz >= freqs[-1]:
+            return self.RAIN_COEFFICIENTS[freqs[-1]]
+        
+        for i in range(len(freqs) - 1):
+            if freqs[i] <= freq_ghz <= freqs[i + 1]:
+                f1, f2 = freqs[i], freqs[i + 1]
+                k1, a1 = self.RAIN_COEFFICIENTS[f1]
+                k2, a2 = self.RAIN_COEFFICIENTS[f2]
+                
+                # Linear interpolation
+                t = (freq_ghz - f1) / (f2 - f1)
+                k = k1 + t * (k2 - k1)
+                alpha = a1 + t * (a2 - a1)
+                
+                return k, alpha
+        
+        return self.RAIN_COEFFICIENTS[freqs[0]]
+    
+    @staticmethod
+    def rain_rate_from_description(description: str) -> float:
+        """Convert rain description to rate"""
+        rates = {
+            "none": 0.0,
+            "drizzle": 2.5,
+            "light": 5.0,
+            "moderate": 12.5,
+            "heavy": 25.0,
+            "very_heavy": 50.0,
+            "extreme": 100.0,
+        }
+        return rates.get(description.lower(), 0.0)
+
+
+weather_service = WeatherService()
+```
+
+---
+
+### 2. Indoor Penetration Loss (ITU-R P.2109)
+
+**Theory:** Signals lose strength when entering buildings. Loss depends on building type, frequency, and wall materials.
+
+**app/services/indoor_service.py:**
+```python
+from typing import Optional
+import math
+
+class IndoorService:
+    """ITU-R P.2109 building entry loss model"""
+    
+    # Building Entry Loss (BEL) by construction type at 2 GHz
+    # Format: (median_loss_dB, std_dev_dB)
+    BUILDING_TYPES = {
+        "none": (0.0, 0.0),           # Outdoor only
+        "light": (8.0, 4.0),          # Wood frame, large windows
+        "medium": (15.0, 6.0),        # Brick, standard windows
+        "heavy": (22.0, 8.0),         # Concrete, small windows
+        "basement": (30.0, 10.0),     # Underground
+        "vehicle": (6.0, 3.0),        # Inside car
+        "train": (20.0, 5.0),         # Inside train
+    }
+    
+    # Frequency correction factor (dB per octave above 2 GHz)
+    FREQ_CORRECTION = 2.5
+    
+    def calculate_indoor_loss(
+        self,
+        frequency_mhz: float,
+        building_type: str = "medium",
+        floor_number: int = 0,
+        depth_m: float = 0.0,
+    ) -> float:
+        """
+        Calculate building entry/indoor penetration loss
+        
+        Args:
+            frequency_mhz: Frequency in MHz
+            building_type: Type of building construction
+            floor_number: Floor number (0=ground, negative=basement)
+            depth_m: Distance from exterior wall in meters
+        
+        Returns:
+            Loss in dB
+        """
+        if building_type == "none":
+            return 0.0
+        
+        base_loss, _ = self.BUILDING_TYPES.get(building_type, (15.0, 6.0))
+        
+        # Frequency correction
+        freq_ghz = frequency_mhz / 1000
+        if freq_ghz > 2.0:
+            octaves = math.log2(freq_ghz / 2.0)
+            freq_correction = self.FREQ_CORRECTION * octaves
+        else:
+            freq_correction = 0.0
+        
+        # Floor correction (higher floors = less loss due to better angle)
+        if floor_number > 0:
+            floor_correction = -1.5 * min(floor_number, 10)
+        elif floor_number < 0:
+            # Basement - additional loss
+            floor_correction = 5.0 * abs(floor_number)
+        else:
+            floor_correction = 0.0
+        
+        # Depth correction (signal attenuates inside building)
+        # Approximately 0.5 dB per meter for first 10m
+        depth_correction = 0.5 * min(depth_m, 20)
+        
+        total_loss = base_loss + freq_correction + floor_correction + depth_correction
+        
+        return max(0.0, min(total_loss, 50.0))  # Clamp 0-50 dB
+    
+    def calculate_outdoor_to_indoor_coverage(
+        self,
+        outdoor_rsrp: float,
+        building_type: str,
+        frequency_mhz: float,
+    ) -> float:
+        """Calculate expected indoor RSRP from outdoor signal"""
+        indoor_loss = self.calculate_indoor_loss(frequency_mhz, building_type)
+        return outdoor_rsrp - indoor_loss
+
+
+indoor_service = IndoorService()
+```
+
+---
+
+### 3. Atmospheric Absorption (ITU-R P.676)
+
+**Theory:** Oxygen and water vapor absorb RF energy. Significant at mmWave (>10 GHz), minor at LTE bands.
+
+**app/services/atmospheric_service.py:**
+```python
+import math
+
+class AtmosphericService:
+    """ITU-R P.676 atmospheric absorption model"""
+    
+    # Simplified model for frequencies < 50 GHz
+    # Standard atmosphere: T=15°C, P=1013 hPa, humidity=50%
+    
+    def calculate_atmospheric_loss(
+        self,
+        frequency_mhz: float,
+        distance_km: float,
+        temperature_c: float = 15.0,
+        humidity_percent: float = 50.0,
+        altitude_m: float = 0.0,
+    ) -> float:
+        """
+        Calculate atmospheric absorption loss
+        
+        Args:
+            frequency_mhz: Frequency in MHz
+            distance_km: Path length in km
+            temperature_c: Temperature in Celsius
+            humidity_percent: Relative humidity (0-100)
+            altitude_m: Altitude above sea level
+        
+        Returns:
+            Loss in dB
+        """
+        freq_ghz = frequency_mhz / 1000
+        
+        # Below 1 GHz - negligible
+        if freq_ghz < 1.0:
+            return 0.0
+        
+        # Calculate specific attenuation (dB/km)
+        gamma = self._specific_attenuation(freq_ghz, temperature_c, humidity_percent)
+        
+        # Altitude correction (less atmosphere at higher altitudes)
+        altitude_factor = math.exp(-altitude_m / 8500)  # Scale height ~8.5km
+        
+        loss = gamma * distance_km * altitude_factor
+        
+        return min(loss, 20.0)  # Cap for reasonable distances
+    
+    def _specific_attenuation(
+        self,
+        freq_ghz: float,
+        temperature_c: float,
+        humidity_percent: float,
+    ) -> float:
+        """
+        Calculate specific attenuation in dB/km
+        
+        Simplified ITU-R P.676 model
+        """
+        # Water vapor density (g/m³) - simplified
+        # Saturation vapor pressure (hPa)
+        es = 6.1121 * math.exp((18.678 - temperature_c / 234.5) * 
+                               (temperature_c / (257.14 + temperature_c)))
+        rho = (humidity_percent / 100) * es * 216.7 / (273.15 + temperature_c)
+        
+        # Oxygen absorption (dominant at 60 GHz, minor below 10 GHz)
+        if freq_ghz < 10:
+            gamma_o = 0.001 * freq_ghz ** 2  # Very small
+        elif freq_ghz < 57:
+            gamma_o = 0.001 * (freq_ghz / 10) ** 2.5
+        else:
+            # Near 60 GHz resonance
+            gamma_o = 15.0  # Peak absorption
+        
+        # Water vapor absorption (peaks at 22 GHz and 183 GHz)
+        if freq_ghz < 10:
+            gamma_w = 0.0001 * rho * freq_ghz ** 2
+        elif freq_ghz < 50:
+            gamma_w = 0.001 * rho * (freq_ghz / 22) ** 2
+        else:
+            gamma_w = 0.01 * rho
+        
+        return gamma_o + gamma_w
+    
+    @staticmethod
+    def get_weather_description(loss_db: float) -> str:
+        """Describe atmospheric conditions based on loss"""
+        if loss_db < 0.1:
+            return "clear"
+        elif loss_db < 0.5:
+            return "normal"
+        elif loss_db < 2.0:
+            return "humid"
+        else:
+            return "foggy"
+
+
+atmospheric_service = AtmosphericService()
+```
+
+---
+
+### 4. Integration into Coverage Service
+
+**Update app/services/coverage_service.py:**
+```python
+# Add imports
+from app.services.weather_service import weather_service
+from app.services.indoor_service import indoor_service
+from app.services.atmospheric_service import atmospheric_service
+
+# Update CoverageSettings
+class CoverageSettings(BaseModel):
+    # ... existing fields ...
+    
+    # Weather
+    rain_rate: float = 0.0           # mm/h (0=none, 5=light, 25=heavy)
+    
+    # Indoor
+    indoor_loss_type: str = "none"   # none, light, medium, heavy
+    
+    # Atmospheric
+    use_atmospheric: bool = False
+    temperature_c: float = 15.0
+    humidity_percent: float = 50.0
+
+# Update _calculate_point()
+async def _calculate_point(self, ...):
+    # ... existing calculations ...
+    
+    # Rain attenuation
+    rain_loss = 0.0
+    if settings.rain_rate > 0:
+        rain_loss = weather_service.calculate_rain_attenuation(
+            site.frequency,
+            distance / 1000,  # km
+            settings.rain_rate
+        )
+    
+    # Indoor penetration
+    indoor_loss = 0.0
+    if settings.indoor_loss_type != "none":
+        indoor_loss = indoor_service.calculate_indoor_loss(
+            site.frequency,
+            settings.indoor_loss_type
+        )
+    
+    # Atmospheric absorption
+    atmo_loss = 0.0
+    if settings.use_atmospheric:
+        atmo_loss = atmospheric_service.calculate_atmospheric_loss(
+            site.frequency,
+            distance / 1000,
+            settings.temperature_c,
+            settings.humidity_percent
+        )
+    
+    # Final RSRP
+    rsrp = (site.power + site.gain - path_loss - antenna_loss 
+            - terrain_loss - building_loss - vegetation_loss
+            - rain_loss - indoor_loss - atmo_loss
+            + reflection_gain + water_reflection_gain)
+    
+    return CoveragePoint(
+        # ... existing fields ...
+        rain_loss=rain_loss,
+        indoor_loss=indoor_loss,
+        atmospheric_loss=atmo_loss,
+    )
+```
+
+---
+
+### 5. Update API Response
+
+**Update CoveragePoint model:**
+```python
+class CoveragePoint(BaseModel):
+    lat: float
+    lon: float
+    rsrp: float
+    distance: float
+    has_los: bool
+    terrain_loss: float = 0.0
+    building_loss: float = 0.0
+    vegetation_loss: float = 0.0
+    reflection_gain: float = 0.0
+    rain_loss: float = 0.0          # NEW
+    indoor_loss: float = 0.0        # NEW
+    atmospheric_loss: float = 0.0   # NEW
+```
+
+---
+
+### 6. Frontend UI Updates
+
+**Add to CoverageSettings panel:**
+```typescript
+// Weather section
+<div className="settings-section">
+  <h4>Weather Conditions</h4>
+  
+  <select 
+    value={settings.rain_rate}
+    onChange={(e) => updateSettings({ rain_rate: Number(e.target.value) })}
+  >
+    <option value={0}>No Rain</option>
+    <option value={2.5}>Drizzle</option>
+    <option value={5}>Light Rain</option>
+    <option value={12.5}>Moderate Rain</option>
+    <option value={25}>Heavy Rain</option>
+    <option value={50}>Very Heavy Rain</option>
+  </select>
+</div>
+
+// Indoor section  
+<div className="settings-section">
+  <h4>Indoor Coverage</h4>
+  
+  <select
+    value={settings.indoor_loss_type}
+    onChange={(e) => updateSettings({ indoor_loss_type: e.target.value })}
+  >
+    <option value="none">Outdoor Only</option>
+    <option value="light">Light Building (wood, glass)</option>
+    <option value="medium">Medium Building (brick)</option>
+    <option value="heavy">Heavy Building (concrete)</option>
+    <option value="vehicle">Inside Vehicle</option>
+  </select>
+</div>
+```
+
+---
+
+## 📁 Files Summary
+
+**New Files:**
+```
+backend/app/services/
+├── weather_service.py      # Rain attenuation
+├── indoor_service.py       # Building entry loss
+└── atmospheric_service.py  # Atmospheric absorption
+```
+
+**Modified Files:**
+```
+backend/app/
+├── services/coverage_service.py  # Integration
+├── api/routes/coverage.py        # New settings
+└── models/coverage.py            # New fields
+
+frontend/src/
+├── types/coverage.ts             # New fields
+├── services/api.ts               # New settings
+├── store/coverage.ts             # New state
+└── components/panels/CoverageSettingsPanel.tsx  # UI
+```
+
+---
+
+## 🧪 Testing
+
+```bash
+# Test rain attenuation
+curl -X POST "https://api.rfcp.eliah.one/api/coverage/calculate" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "sites":[{"lat":48.46,"lon":35.05,"height":30,"power":43,"gain":15,"frequency":1800}],
+    "settings":{
+      "radius":1000,
+      "resolution":100,
+      "preset":"fast",
+      "rain_rate":25
+    }
+  }'
+
+# Test indoor penetration
+curl -X POST "https://api.rfcp.eliah.one/api/coverage/calculate" \
+  -H "Content-Type: application/json" \
+  -d '{
+    "sites":[{"lat":48.46,"lon":35.05,"height":30,"power":43,"gain":15,"frequency":1800}],
+    "settings":{
+      "radius":1000,
+      "resolution":100,
+      "preset":"fast",
+      "indoor_loss_type":"medium"
+    }
+  }'
+```
+
+---
+
+## ✅ Success Criteria
+
+- [ ] Rain attenuation calculated correctly (0 dB at 0 mm/h, ~5 dB at 25 mm/h for 1km)
+- [ ] Indoor loss applied uniformly (~15 dB for medium building)
+- [ ] Atmospheric loss minimal at LTE frequencies (<0.5 dB for 10km)
+- [ ] Frontend shows weather/indoor selectors
+- [ ] All presets still work
+- [ ] Tests pass
+
+---
+
+## 📝 Notes
+
+- Rain attenuation most significant at mmWave (5G NR FR2)
+- Indoor loss is uniform for coverage area (all points affected equally)
+- Atmospheric loss negligible below 6 GHz for typical distances
+- These are "what-if" analysis features, not real-time weather integration
+
+---
+
+## 🔜 Next: 2.1 — Desktop Installer
+
+After 1.6.1:
+- Electron packaging
+- Offline mode with local data
+- GPU acceleration for fast calculations
+
+---
+
+**Ready for Claude Code** 🚀

backend/app/api/routes/coverage.py

@@ -96,6 +96,9 @@ async def calculate_coverage(request: CoverageRequest) -> CoverageResponse:
         "points_with_terrain_loss": sum(1 for p in points if p.terrain_loss > 0),
         "points_with_reflection_gain": sum(1 for p in points if p.reflection_gain > 0),
         "points_with_vegetation_loss": sum(1 for p in points if p.vegetation_loss > 0),
+        "points_with_rain_loss": sum(1 for p in points if p.rain_loss > 0),
+        "points_with_indoor_loss": sum(1 for p in points if p.indoor_loss > 0),
+        "points_with_atmospheric_loss": sum(1 for p in points if p.atmospheric_loss > 0),
     }
 
     return CoverageResponse(
@@ -183,5 +186,11 @@ def _get_active_models(settings: CoverageSettings) -> List[str]:
         models.append("water_reflection")
     if settings.use_vegetation:
         models.append("vegetation")
+    if settings.rain_rate > 0:
+        models.append("rain_attenuation")
+    if settings.indoor_loss_type != "none":
+        models.append("indoor_penetration")
+    if settings.use_atmospheric:
+        models.append("atmospheric")
 
     return models

backend/app/services/atmospheric_service.py

@@ -0,0 +1,98 @@
+import math
+
+
+class AtmosphericService:
+    """ITU-R P.676 atmospheric absorption model"""
+
+    # Simplified model for frequencies < 50 GHz
+    # Standard atmosphere: T=15C, P=1013 hPa, humidity=50%
+
+    def calculate_atmospheric_loss(
+        self,
+        frequency_mhz: float,
+        distance_km: float,
+        temperature_c: float = 15.0,
+        humidity_percent: float = 50.0,
+        altitude_m: float = 0.0,
+    ) -> float:
+        """
+        Calculate atmospheric absorption loss
+
+        Args:
+            frequency_mhz: Frequency in MHz
+            distance_km: Path length in km
+            temperature_c: Temperature in Celsius
+            humidity_percent: Relative humidity (0-100)
+            altitude_m: Altitude above sea level
+
+        Returns:
+            Loss in dB
+        """
+        freq_ghz = frequency_mhz / 1000
+
+        # Below 1 GHz - negligible
+        if freq_ghz < 1.0:
+            return 0.0
+
+        # Calculate specific attenuation (dB/km)
+        gamma = self._specific_attenuation(freq_ghz, temperature_c, humidity_percent)
+
+        # Altitude correction (less atmosphere at higher altitudes)
+        altitude_factor = math.exp(-altitude_m / 8500)  # Scale height ~8.5km
+
+        loss = gamma * distance_km * altitude_factor
+
+        return min(loss, 20.0)  # Cap for reasonable distances
+
+    def _specific_attenuation(
+        self,
+        freq_ghz: float,
+        temperature_c: float,
+        humidity_percent: float,
+    ) -> float:
+        """
+        Calculate specific attenuation in dB/km
+
+        Simplified ITU-R P.676 model
+        """
+        # Water vapor density (g/m3) - simplified
+        # Saturation vapor pressure (hPa)
+        es = 6.1121 * math.exp(
+            (18.678 - temperature_c / 234.5)
+            * (temperature_c / (257.14 + temperature_c))
+        )
+        rho = (humidity_percent / 100) * es * 216.7 / (273.15 + temperature_c)
+
+        # Oxygen absorption (dominant at 60 GHz, minor below 10 GHz)
+        if freq_ghz < 10:
+            gamma_o = 0.001 * freq_ghz ** 2  # Very small
+        elif freq_ghz < 57:
+            gamma_o = 0.001 * (freq_ghz / 10) ** 2.5
+        else:
+            # Near 60 GHz resonance
+            gamma_o = 15.0  # Peak absorption
+
+        # Water vapor absorption (peaks at 22 GHz and 183 GHz)
+        if freq_ghz < 10:
+            gamma_w = 0.0001 * rho * freq_ghz ** 2
+        elif freq_ghz < 50:
+            gamma_w = 0.001 * rho * (freq_ghz / 22) ** 2
+        else:
+            gamma_w = 0.01 * rho
+
+        return gamma_o + gamma_w
+
+    @staticmethod
+    def get_weather_description(loss_db: float) -> str:
+        """Describe atmospheric conditions based on loss"""
+        if loss_db < 0.1:
+            return "clear"
+        elif loss_db < 0.5:
+            return "normal"
+        elif loss_db < 2.0:
+            return "humid"
+        else:
+            return "foggy"
+
+
+atmospheric_service = AtmosphericService()

backend/app/services/coverage_service.py

@@ -12,6 +12,9 @@ from app.services.reflection_service import reflection_service
 from app.services.spatial_index import get_spatial_index, SpatialIndex
 from app.services.water_service import water_service, WaterBody
 from app.services.vegetation_service import vegetation_service, VegetationArea
+from app.services.weather_service import weather_service
+from app.services.indoor_service import indoor_service
+from app.services.atmospheric_service import atmospheric_service
 
 
 class CoveragePoint(BaseModel):
@@ -24,6 +27,9 @@ class CoveragePoint(BaseModel):
     building_loss: float  # dB
     reflection_gain: float = 0.0  # dB
     vegetation_loss: float = 0.0  # dB
+    rain_loss: float = 0.0  # dB
+    indoor_loss: float = 0.0  # dB
+    atmospheric_loss: float = 0.0  # dB
 
 
 class CoverageSettings(BaseModel):
@@ -44,6 +50,17 @@ class CoverageSettings(BaseModel):
     # Vegetation season
     season: str = "summer"
 
+    # Weather
+    rain_rate: float = 0.0  # mm/h (0=none, 5=light, 25=heavy)
+
+    # Indoor
+    indoor_loss_type: str = "none"  # none, light, medium, heavy, vehicle
+
+    # Atmospheric
+    use_atmospheric: bool = False
+    temperature_c: float = 15.0
+    humidity_percent: float = 50.0
+
     # Preset
     preset: Optional[str] = None  # fast, standard, detailed, full
 
@@ -419,9 +436,38 @@ class CoverageService:
             if is_over_water:
                 reflection_gain = 3.0  # ~3dB boost over water
 
+        # Rain attenuation
+        rain_loss = 0.0
+        if settings.rain_rate > 0:
+            rain_loss = weather_service.calculate_rain_attenuation(
+                site.frequency,
+                distance / 1000,  # km
+                settings.rain_rate
+            )
+
+        # Indoor penetration loss
+        indoor_loss = 0.0
+        if settings.indoor_loss_type != "none":
+            indoor_loss = indoor_service.calculate_indoor_loss(
+                site.frequency,
+                settings.indoor_loss_type
+            )
+
+        # Atmospheric absorption
+        atmo_loss = 0.0
+        if settings.use_atmospheric:
+            atmo_loss = atmospheric_service.calculate_atmospheric_loss(
+                site.frequency,
+                distance / 1000,
+                settings.temperature_c,
+                settings.humidity_percent
+            )
+
         # Final RSRP
         rsrp = (site.power + site.gain - path_loss - antenna_loss
-                - terrain_loss - building_loss - veg_loss + reflection_gain)
+                - terrain_loss - building_loss - veg_loss
+                - rain_loss - indoor_loss - atmo_loss
+                + reflection_gain)
 
         return CoveragePoint(
             lat=lat,
@@ -432,7 +478,10 @@ class CoverageService:
             terrain_loss=terrain_loss,
             building_loss=building_loss,
             reflection_gain=reflection_gain,
-            vegetation_loss=veg_loss
+            vegetation_loss=veg_loss,
+            rain_loss=rain_loss,
+            indoor_loss=indoor_loss,
+            atmospheric_loss=atmo_loss,
         )
 
     def _okumura_hata(

backend/app/services/indoor_service.py

@@ -0,0 +1,82 @@
+import math
+
+
+class IndoorService:
+    """ITU-R P.2109 building entry loss model"""
+
+    # Building Entry Loss (BEL) by construction type at 2 GHz
+    # Format: (median_loss_dB, std_dev_dB)
+    BUILDING_TYPES = {
+        "none": (0.0, 0.0),           # Outdoor only
+        "light": (8.0, 4.0),          # Wood frame, large windows
+        "medium": (15.0, 6.0),        # Brick, standard windows
+        "heavy": (22.0, 8.0),         # Concrete, small windows
+        "basement": (30.0, 10.0),     # Underground
+        "vehicle": (6.0, 3.0),        # Inside car
+        "train": (20.0, 5.0),         # Inside train
+    }
+
+    # Frequency correction factor (dB per octave above 2 GHz)
+    FREQ_CORRECTION = 2.5
+
+    def calculate_indoor_loss(
+        self,
+        frequency_mhz: float,
+        building_type: str = "medium",
+        floor_number: int = 0,
+        depth_m: float = 0.0,
+    ) -> float:
+        """
+        Calculate building entry/indoor penetration loss
+
+        Args:
+            frequency_mhz: Frequency in MHz
+            building_type: Type of building construction
+            floor_number: Floor number (0=ground, negative=basement)
+            depth_m: Distance from exterior wall in meters
+
+        Returns:
+            Loss in dB
+        """
+        if building_type == "none":
+            return 0.0
+
+        base_loss, _ = self.BUILDING_TYPES.get(building_type, (15.0, 6.0))
+
+        # Frequency correction
+        freq_ghz = frequency_mhz / 1000
+        if freq_ghz > 2.0:
+            octaves = math.log2(freq_ghz / 2.0)
+            freq_correction = self.FREQ_CORRECTION * octaves
+        else:
+            freq_correction = 0.0
+
+        # Floor correction (higher floors = less loss due to better angle)
+        if floor_number > 0:
+            floor_correction = -1.5 * min(floor_number, 10)
+        elif floor_number < 0:
+            # Basement - additional loss
+            floor_correction = 5.0 * abs(floor_number)
+        else:
+            floor_correction = 0.0
+
+        # Depth correction (signal attenuates inside building)
+        # Approximately 0.5 dB per meter for first 10m
+        depth_correction = 0.5 * min(depth_m, 20)
+
+        total_loss = base_loss + freq_correction + floor_correction + depth_correction
+
+        return max(0.0, min(total_loss, 50.0))  # Clamp 0-50 dB
+
+    def calculate_outdoor_to_indoor_coverage(
+        self,
+        outdoor_rsrp: float,
+        building_type: str,
+        frequency_mhz: float,
+    ) -> float:
+        """Calculate expected indoor RSRP from outdoor signal"""
+        indoor_loss = self.calculate_indoor_loss(frequency_mhz, building_type)
+        return outdoor_rsrp - indoor_loss
+
+
+indoor_service = IndoorService()

backend/app/services/weather_service.py

@@ -0,0 +1,102 @@
+import math
+
+
+class WeatherService:
+    """ITU-R P.838 rain attenuation model"""
+
+    # ITU-R P.838-3 coefficients for horizontal polarization
+    # Format: (frequency_GHz, k, alpha)
+    RAIN_COEFFICIENTS = {
+        0.7: (0.0000387, 0.912),
+        1.0: (0.0000887, 0.949),
+        1.8: (0.000292, 1.021),
+        2.1: (0.000425, 1.052),
+        2.6: (0.000683, 1.091),
+        3.5: (0.00138, 1.149),
+        5.0: (0.00361, 1.206),
+        10.0: (0.0245, 1.200),
+        20.0: (0.0906, 1.099),
+        30.0: (0.175, 1.021),
+    }
+
+    def calculate_rain_attenuation(
+        self,
+        frequency_mhz: float,
+        distance_km: float,
+        rain_rate: float,  # mm/h
+    ) -> float:
+        """
+        Calculate rain attenuation in dB
+
+        Args:
+            frequency_mhz: Frequency in MHz
+            distance_km: Path length in km
+            rain_rate: Rain rate in mm/h (0=none, 5=light, 25=moderate, 50=heavy)
+
+        Returns:
+            Attenuation in dB
+        """
+        if rain_rate <= 0:
+            return 0.0
+
+        freq_ghz = frequency_mhz / 1000
+
+        # Get interpolated coefficients
+        k, alpha = self._get_coefficients(freq_ghz)
+
+        # Specific attenuation (dB/km)
+        gamma_r = k * (rain_rate ** alpha)
+
+        # Effective path length reduction for longer paths
+        # Rain cells are typically 2-5 km
+        if distance_km > 2:
+            reduction_factor = 1 / (1 + distance_km / 35)
+            effective_distance = distance_km * reduction_factor
+        else:
+            effective_distance = distance_km
+
+        attenuation = gamma_r * effective_distance
+
+        return min(attenuation, 30.0)  # Cap at 30 dB
+
+    def _get_coefficients(self, freq_ghz: float) -> tuple[float, float]:
+        """Interpolate rain coefficients for frequency"""
+        freqs = sorted(self.RAIN_COEFFICIENTS.keys())
+
+        # Find surrounding frequencies
+        if freq_ghz <= freqs[0]:
+            return self.RAIN_COEFFICIENTS[freqs[0]]
+        if freq_ghz >= freqs[-1]:
+            return self.RAIN_COEFFICIENTS[freqs[-1]]
+
+        for i in range(len(freqs) - 1):
+            if freqs[i] <= freq_ghz <= freqs[i + 1]:
+                f1, f2 = freqs[i], freqs[i + 1]
+                k1, a1 = self.RAIN_COEFFICIENTS[f1]
+                k2, a2 = self.RAIN_COEFFICIENTS[f2]
+
+                # Linear interpolation
+                t = (freq_ghz - f1) / (f2 - f1)
+                k = k1 + t * (k2 - k1)
+                alpha = a1 + t * (a2 - a1)
+
+                return k, alpha
+
+        return self.RAIN_COEFFICIENTS[freqs[0]]
+
+    @staticmethod
+    def rain_rate_from_description(description: str) -> float:
+        """Convert rain description to rate"""
+        rates = {
+            "none": 0.0,
+            "drizzle": 2.5,
+            "light": 5.0,
+            "moderate": 12.5,
+            "heavy": 25.0,
+            "very_heavy": 50.0,
+            "extreme": 100.0,
+        }
+        return rates.get(description.lower(), 0.0)
+
+
+weather_service = WeatherService()

frontend/src/App.tsx

@@ -803,6 +803,118 @@ export default function App() {
                           </select>
                         </div>
                       )}
+
+                      {/* Atmospheric absorption toggle */}
+                      <label
+                        className={`flex items-center gap-2 cursor-pointer text-sm ${
+                          isCalculating
+                            ? 'text-gray-400 dark:text-dark-muted cursor-not-allowed'
+                            : 'text-gray-700 dark:text-dark-text'
+                        }`}
+                      >
+                        <input
+                          type="checkbox"
+                          checked={settings.use_atmospheric ?? false}
+                          onChange={(e) => {
+                            useCoverageStore.getState().updateSettings({
+                              use_atmospheric: e.target.checked,
+                              preset: undefined,
+                            });
+                          }}
+                          disabled={isCalculating}
+                          className="w-3.5 h-3.5 rounded border-gray-300 dark:border-dark-border accent-blue-600"
+                        />
+                        Atmospheric Absorption
+                      </label>
+                      {settings.use_atmospheric && (
+                        <div className="mt-1.5 pl-5 space-y-1.5">
+                          <div>
+                            <label className="text-xs text-gray-500 dark:text-dark-muted">Temperature</label>
+                            <select
+                              value={settings.temperature_c ?? 15}
+                              onChange={(e) =>
+                                useCoverageStore.getState().updateSettings({
+                                  temperature_c: Number(e.target.value),
+                                })
+                              }
+                              disabled={isCalculating}
+                              className="w-full mt-0.5 px-2 py-1 text-xs bg-white dark:bg-dark-border border border-gray-300 dark:border-dark-border rounded text-gray-700 dark:text-dark-text disabled:opacity-50"
+                            >
+                              <option value={-10}>-10°C (cold)</option>
+                              <option value={0}>0°C (freezing)</option>
+                              <option value={15}>15°C (mild)</option>
+                              <option value={25}>25°C (warm)</option>
+                              <option value={35}>35°C (hot)</option>
+                            </select>
+                          </div>
+                          <div>
+                            <label className="text-xs text-gray-500 dark:text-dark-muted">Humidity</label>
+                            <select
+                              value={settings.humidity_percent ?? 50}
+                              onChange={(e) =>
+                                useCoverageStore.getState().updateSettings({
+                                  humidity_percent: Number(e.target.value),
+                                })
+                              }
+                              disabled={isCalculating}
+                              className="w-full mt-0.5 px-2 py-1 text-xs bg-white dark:bg-dark-border border border-gray-300 dark:border-dark-border rounded text-gray-700 dark:text-dark-text disabled:opacity-50"
+                            >
+                              <option value={20}>20% (dry)</option>
+                              <option value={50}>50% (normal)</option>
+                              <option value={70}>70% (humid)</option>
+                              <option value={90}>90% (very humid)</option>
+                            </select>
+                          </div>
+                        </div>
+                      )}
+
+                      {/* Weather / Rain section */}
+                      <div className="mt-2 pt-2 border-t border-gray-200 dark:border-dark-border">
+                        <p className="text-[10px] font-semibold text-gray-400 dark:text-dark-muted uppercase mb-1.5">Environment</p>
+                        <div>
+                          <label className="text-xs text-gray-500 dark:text-dark-muted">Rain Conditions</label>
+                          <select
+                            value={settings.rain_rate ?? 0}
+                            onChange={(e) =>
+                              useCoverageStore.getState().updateSettings({
+                                rain_rate: Number(e.target.value),
+                                preset: undefined,
+                              })
+                            }
+                            disabled={isCalculating}
+                            className="w-full mt-0.5 px-2 py-1 text-xs bg-white dark:bg-dark-border border border-gray-300 dark:border-dark-border rounded text-gray-700 dark:text-dark-text disabled:opacity-50"
+                          >
+                            <option value={0}>No Rain</option>
+                            <option value={2.5}>Drizzle</option>
+                            <option value={5}>Light Rain</option>
+                            <option value={12.5}>Moderate Rain</option>
+                            <option value={25}>Heavy Rain</option>
+                            <option value={50}>Very Heavy Rain</option>
+                          </select>
+                        </div>
+                      </div>
+
+                      {/* Indoor penetration section */}
+                      <div className="mt-1.5">
+                        <label className="text-xs text-gray-500 dark:text-dark-muted">Indoor Coverage</label>
+                        <select
+                          value={settings.indoor_loss_type ?? 'none'}
+                          onChange={(e) =>
+                            useCoverageStore.getState().updateSettings({
+                              indoor_loss_type: e.target.value,
+                              preset: undefined,
+                            })
+                          }
+                          disabled={isCalculating}
+                          className="w-full mt-0.5 px-2 py-1 text-xs bg-white dark:bg-dark-border border border-gray-300 dark:border-dark-border rounded text-gray-700 dark:text-dark-text disabled:opacity-50"
+                        >
+                          <option value="none">Outdoor Only</option>
+                          <option value="light">Light Building (wood, glass)</option>
+                          <option value="medium">Medium Building (brick)</option>
+                          <option value="heavy">Heavy Building (concrete)</option>
+                          <option value="vehicle">Inside Vehicle</option>
+                        </select>
+                      </div>
                     </div>
                   )}
                 </div>

frontend/src/services/api.ts

@@ -31,6 +31,11 @@ export interface ApiCoverageSettings {
   use_water_reflection?: boolean;
   use_vegetation?: boolean;
   season?: 'summer' | 'winter' | 'spring' | 'autumn';
+  rain_rate?: number;
+  indoor_loss_type?: string;
+  use_atmospheric?: boolean;
+  temperature_c?: number;
+  humidity_percent?: number;
 }
 
 export interface CoverageRequest {
@@ -50,6 +55,9 @@ export interface ApiCoveragePoint {
   building_loss: number;
   reflection_gain: number;
   vegetation_loss: number;
+  rain_loss: number;
+  indoor_loss: number;
+  atmospheric_loss: number;
 }
 
 export interface ApiCoverageStats {
@@ -61,6 +69,9 @@ export interface ApiCoverageStats {
   points_with_terrain_loss: number;
   points_with_reflection_gain: number;
   points_with_vegetation_loss: number;
+  points_with_rain_loss: number;
+  points_with_indoor_loss: number;
+  points_with_atmospheric_loss: number;
 }
 
 export interface CoverageResponse {

frontend/src/store/coverage.ts

@@ -44,6 +44,14 @@ export const useCoverageStore = create<CoverageState>((set, get) => ({
     use_water_reflection: false,
     use_vegetation: false,
     season: 'summer',
+    // Weather
+    rain_rate: 0,
+    // Indoor
+    indoor_loss_type: 'none',
+    // Atmospheric
+    use_atmospheric: false,
+    temperature_c: 15,
+    humidity_percent: 50,
   },
   heatmapVisible: true,
   error: null,
@@ -107,6 +115,11 @@ export const useCoverageStore = create<CoverageState>((set, get) => ({
           use_water_reflection: settings.use_water_reflection,
           use_vegetation: settings.use_vegetation,
           season: settings.season,
+          rain_rate: settings.rain_rate,
+          indoor_loss_type: settings.indoor_loss_type,
+          use_atmospheric: settings.use_atmospheric,
+          temperature_c: settings.temperature_c,
+          humidity_percent: settings.humidity_percent,
         },
       });
 
@@ -122,6 +135,9 @@ export const useCoverageStore = create<CoverageState>((set, get) => ({
           building_loss: p.building_loss,
           reflection_gain: p.reflection_gain,
           vegetation_loss: p.vegetation_loss,
+          rain_loss: p.rain_loss,
+          indoor_loss: p.indoor_loss,
+          atmospheric_loss: p.atmospheric_loss,
         })),
         calculationTime: response.computation_time,
         totalPoints: response.count,

frontend/src/types/coverage.ts

@@ -10,6 +10,9 @@ export interface CoveragePoint {
   building_loss?: number;      // dB building penetration loss
   reflection_gain?: number;    // dB reflection signal gain
   vegetation_loss?: number;    // dB vegetation attenuation
+  rain_loss?: number;          // dB rain attenuation
+  indoor_loss?: number;        // dB indoor penetration loss
+  atmospheric_loss?: number;   // dB atmospheric absorption
 }
 
 export interface CoverageResult {
@@ -31,6 +34,9 @@ export interface CoverageApiStats {
   points_with_terrain_loss: number;
   points_with_reflection_gain: number;
   points_with_vegetation_loss: number;
+  points_with_rain_loss: number;
+  points_with_indoor_loss: number;
+  points_with_atmospheric_loss: number;
 }
 
 export interface CoverageSettings {
@@ -50,6 +56,14 @@ export interface CoverageSettings {
   use_water_reflection?: boolean;
   use_vegetation?: boolean;
   season?: 'summer' | 'winter' | 'spring' | 'autumn';
+  // Weather
+  rain_rate?: number;            // mm/h (0=none, 5=light, 25=heavy)
+  // Indoor
+  indoor_loss_type?: string;     // none, light, medium, heavy, vehicle
+  // Atmospheric
+  use_atmospheric?: boolean;
+  temperature_c?: number;
+  humidity_percent?: number;
 }
 
 export interface GridPoint {