To provide a meaningful assessment of the results you've obtained from modeling a selective surface for radiative cooling, I would need more specific details on the key outcomes, including:

1. **Spectral Emissivity and Absorptivity**:

- How does the surface's emissivity vary across different wavelengths? Ideally, a selective surface for radiative cooling should exhibit high emissivity in the atmospheric transparency window (8-13 μm) to effectively radiate heat into space while showing low absorptivity in the solar spectrum (0.3-2.5 μm) to minimize solar heat gain.

2. **Cooling Power**:

- What is the net radiative cooling power, especially at different times of the day or under various environmental conditions? A good selective surface should exhibit a high cooling power at ambient temperatures, indicating effective heat dissipation into the cold sky.

3. **Temperature Drop**:

- How much of a temperature drop below ambient temperature is achieved? This is a direct indication of how effective the surface is at cooling compared to its surroundings.

4. **Environmental Conditions**:

- Under what conditions were the simulations performed? Factors like ambient temperature, humidity, and wind speed can significantly influence radiative cooling performance, and these should align with realistic use cases for the surface.

5. **Material Properties**:

- What materials or coatings were used in the model? Selective surfaces often rely on advanced materials or multilayer coatings (e.g., photonic crystals, metamaterials) to optimize radiative cooling. Understanding the material choices will help evaluate whether the results are aligned with current research trends.

6. **Energy Balance**:

- Is there a detailed energy balance that includes radiative losses, conductive/convective heat gains or losses, and absorbed solar radiation? Achieving a good energy balance is key for predicting real-world performance.

7. **Comparison to Existing Solutions**:

- How do these results compare with the performance of known radiative cooling surfaces (e.g., materials achieving a cooling power of 100-150 W/m² in the atmospheric window)? Are your results in line with or superior to existing benchmarks?

Once you share more details about these factors, I can provide a more specific analysis of your modeling results.